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19 Data Analyst Resume Examples - Here's What Works In 2024

The resume is the first step to landing a data analyst role. we interviewed ten hiring managers and recruiters who hire for data analyst roles and found out exactly what they are looking for in 2023. plus, we've compiled six templates you can use when writing your data analyst resume (google docs & pdfs included)..

Data analysts are increasingly becoming one of the most sought after technology roles. Companies are storing terabytes and petabytes of data and need to find ways to effectively use this data to drive business decisions. To do this, they not only need to clean, process and analyze their data, but also need to turn that data into meaningful insights. This is where data analysts come in - i.e. you! In 2023, pretty much every company needs to have a data strategy and, as a result, need to hire data analysts to help with data needs. The first step to getting a data analyst job is a resume. And writing a data analyst resume can be tough if you haven't done it before. In this guide, we've compiled six data analyst resume templates that hiring managers and recruiters have said are among the best data analyst resumes they've seen this year. We've chosen examples of resumes from different stages of the data analyst career path, from entry level to senior level data analysts, so there's a relevant example for you. We've also included links to the PDFs and Google Doc formats, along with specific insight from data-focused recruiters that you can use when writing your own data analyst resume.

Data Analyst Resume Templates

Jump to a template:

• Data Analyst
• Entry Level Data Analyst
• Senior Data Analyst
• Analytics Manager
• Marketing Data Analyst
• Financial Data Analyst
• Experienced Data Analyst
• Junior Data Analyst
• Healthcare Data Analyst
• Business Data Analyst
• Power BI Data Analyst
• Data Analyst Intern

Jump to a resource:

• Keywords for Data Analyst Resumes

Data Analyst Resume Tips

• Action Verbs to Use
• Bullet Points on Data Analyst Resumes
• Frequently Asked Questions
• Related Data & Analytics Resumes

Get advice on each section of your resume:

Template 1 of 19: Data Analyst Resume Example

A data analyst can work in multiple settings by helping companies solve problems through data and statistics. For example, they can work on the marketing team to identify their target audience's shopping habits or trace a disease pattern in a particular area. That’s why they will collect, filter, process, and interpret data. There are many ways to become a data analyst apart from traditional education. You can join an online course, bootcamp, or a certificate program. However, regardless of your educational background, you should emphasize you have advanced training and experience. That’s why it’s a good idea to highlight your data analysis certifications on your resume.

We're just getting the template ready for you, just a second left.

Tips to help you write your Data Analyst resume in 2024

   indicate your knowledge of programming languages..

Depending on your industry and employer, you might get to use a particular programming language to automate data processing. Coding languages like R or Python help data analysts process large sets of data and automate tasks. It is essential to indicate the programming languages you are familiar with on your resume.

   Highlight your data visualization skills.

Even though this is a highly technical occupation, you still need to communicate your results to non-technical stakeholders or team members. That’s why data visualization skills are so important in this role. They help you represent your insights in a more digestible way by using graphics, charts, and even storytelling.

Skills you can include on your Data Analyst resume

Template 2 of 19: data analyst resume example.

This is an effective template you can use if you are applying for all data analyst roles in 2023, and showcases relevant data analyst skill sets in all parts of the resume, including the work experience, skills and projects sections. This resume is ATS-compatible and can be used when applying through online portals. Here's a few more reasons why this data analyst resume template works well:

   Numbers and metrics

Notice how this resume's bullet points makes use of specific numbers while describing accomplishments, e.g. "led to a 25% sales lift". This tells data analyst recruiters that this applicant can make a concrete impact on an organization.

   Good use of space

The two-column in this data analyst resume template prioritizes the work experience sections, while making good use of whitespace. The resume does not look overcrowded and uses reasonable margins.

Template 3 of 19: Entry Level Data Analyst Resume Example

As an entry-level data analyst, you'll be diving into the world of data-driven insights and decision-making. With companies increasingly relying on data for growth and improvement, this role is vital to their success. When crafting your resume, it's essential to demonstrate both your technical skills in data analysis and your understanding of the business context. Keep in mind, employers are looking for candidates with a strong foundation in data manipulation and visualization who can also bring unique insights to the table. In recent years, there's been a shift towards using more advanced tools and programming languages for data analysis, like Python and R. So, ensure your resume highlights your proficiency in these areas, as well as your experience working with databases, data visualization tools, and analytical software. Showcasing your ability to adapt to industry trends will make you stand out among other applicants.

Tips to help you write your Entry Level Data Analyst resume in 2024

   highlight relevant coursework and projects.

As an entry-level candidate, you might not have extensive work experience in data analysis yet. To showcase your skills, focus on relevant coursework, academic projects, or internships that included data analysis tasks. Include specific examples of how you've applied analytical techniques to solve problems or discover insights.

   Demonstrate proficiency in programming languages

Employers often seek data analysts with programming skills in Python, R, or SQL. Make sure to list these languages and any other relevant tools (like Tableau or Power BI) in a "Technical Skills" section of your resume. If possible, include examples of projects that required using these languages to analyze and visualize data effectively.

Skills you can include on your Entry Level Data Analyst resume

Template 4 of 19: entry level data analyst resume example.

If you're a recent graduate or student, use this entry-level data analyst resume template when applying to jobs. It uses extra-curricular and project sections to supplement your work experience.

   University projects

If you are applying for an entry level data analyst job and don't have too much work experience, don't worry! Use data analyst projects like in this resume example to showcase skills like creating predictive models.

   Strong action verbs

Resumes need to use strong action verbs , which immediately tell a recruiter your role in a specific accomplishment. Data analyst resumes should use action verbs that are relevant to data analysis, processing and visualization. Action verbs like "Analyzed", "Assessed" or "Researched" are strong action verbs that effectively showcase data analyst skill sets.

Template 5 of 19: Senior Data Analyst Resume Example

A senior data analyst helps organizations make better business decisions through the use of data and statistical knowledge. They will gather the company’s intelligence and process it to discover actionable insights that help solve a business problem. Hence, senior data analysts will perform data modeling, deep analysis, and forecasting. As a senior data analyst, you might have to supervise less experienced colleagues. Therefore, it is important to mention your ability to monitor team members in your resume. Remember that it’s also important to emphasize your experience in the field.

Tips to help you write your Senior Data Analyst resume in 2024

   demonstrate your impact on previous projects’ success with metrics..

What would you do to showcase your discoveries to your stakeholders? Use metrics and data visualization to represent them. This is the same thing you’ll do with your resume. You should demonstrate your accomplishments with metrics to add tangible value to your resume.

   Indicate your machine learning skills.

Machine learning is an excellent tool that helps you optimize data analytics and data processing. By including this skill in your resume, you are letting your potential employer know that you are up-to-date with the latest industry trends.

Skills you can include on your Senior Data Analyst resume

Template 6 of 19: senior data analyst resume example.

Senior data analyst resumes should have sufficient experience with handling large data sets and experience working cross-functionally. Keep the following in mind too:

   ATS-compatible resume template

Simple templates work well at getting past the automated resume screening stage, also known as the applicant tracking system. Learn how to beat the ATS .

   Strong data analyst skills

Notice how this applicant uses technical data analyst skills in his work experience (e.g. Pentaho Kettle), as well as in a dedicated Technical Skills section at the bottom, where he describes relevant data analyst skills like Python and Excel.

Template 7 of 19: Analytics Manager Resume Example

As an Analytics Manager, you'll be responsible for leading a team of analysts to extract insights from data and drive business decisions. Considering the rapidly evolving nature of this field, it's crucial to stay updated with the latest industry trends and advancements in data analysis tools. When crafting your resume for an Analytics Manager position, emphasize your ability to stay current with industry trends and showcase your strong leadership skills. In your resume, you should highlight your experience in managing analytics projects and delivering actionable insights to stakeholders. It's important to demonstrate your proficiency in a variety of data analysis tools and programming languages, as well as your ability to communicate complex data-driven insights to non-technical team members. Tailor your resume to highlight these key skills and experiences to stand out among other applicants.

Tips to help you write your Analytics Manager resume in 2024

   emphasize data analysis tools and languages.

As an Analytics Manager, you'll need to be proficient in a wide range of data analysis tools and programming languages such as Python, R, SQL, and various data visualization tools. Make sure to highlight your expertise in these areas, including any relevant certifications you may have, to showcase your technical competence.

   Showcase your project management experience

Analytics Managers often lead projects, ensuring their completion on time and within budget. In your resume, describe your experience in orchestrating analytics projects from start to finish, including setting goals, managing resources, and presenting findings to stakeholders. Quantify your achievements when possible to demonstrate the impact of your work.

Skills you can include on your Analytics Manager resume

Template 8 of 19: analytics manager resume example.

Analytics managers are also responsible for managing and monitoring data warehousing. It is the process of collecting data from various sources to discover actionable insights. Some employers might need an analytic manager with warehousing skills. Hence, this is something you might want to mention on your resume. Analytics managers also coordinate data governance, which is the process of maintaining the integrity and security of corporate data. This is another skill you may want to consider including in your resume. Due to the constant data threats, it has become an in-demand skill in the industry.

   Prioritize your technical skills.

Numerous soft skills are essential for an analytics manager's occupation, such as communication, time management, and logical thinking. However, you should prioritize technical competencies, especially in the skills section. This is a highly technical role, so your potential employer might want to know if you are proficient in hard skills like data warehousing, Python, SQL, or data visualization.

   Demonstrate you are up-to-date with the latest industry trends.

Data analytics is a field that requires you to become a lifelong learner, and your potential employer might be looking for that. That’s why you need to demonstrate that you are up-to-date with the latest industry trends. Some of the most recent trends include artificial intelligence and cloud computing.

Template 9 of 19: Analytics Manager Resume Example

Analytics managers are senior-level data analysts that are more focused on managerial responsibilities than on data analyst projects. That said, they need to have a strong understanding of data analysis skill sets, so it's important to include relevant skill sets on your resume.

   Show promotions

For senior data analyst roles, it's important to show recruiters that you have been promoted in the past since this shows leadership. Read this step-by-step guide on how to show a promotion on your resume .

   Relevant experience only

Notice how this analytics manager uses a format on their resume to highlight only impressive accomplishments relevant to the data analyst role they are applying to. Notice how the resume includes a 'Selected Project Experience' which highlights specific analytical projects.

Template 10 of 19: Marketing Data Analyst Resume Example

As a Marketing Data Analyst, you'll be responsible for using data to provide insights and recommendations to marketing teams. This essential role has grown in demand as companies increasingly rely on data-driven decision-making. When writing your resume for this role, it's crucial to showcase your expertise in data analysis, marketing concepts, and communication skills. In today's competitive job market, employers are seeking marketing data analysts who can keep up with the ever-evolving industry trends, such as artificial intelligence, machine learning, and automation. Be sure to highlight your experience and adaptability in these areas on your resume to stand out among other applicants.

Tips to help you write your Marketing Data Analyst resume in 2024

   emphasize marketing and data skills.

When writing your resume, make sure to emphasize your marketing knowledge, such as understanding of customer segmentation, and your data skills, like proficiency in SQL, Python, or R. Demonstrating your ability to combine these skillsets will set you apart as a strong Marketing Data Analyst candidate.

   Showcase relevant projects and results

In the experience section of your resume, highlight relevant projects you've worked on, focusing on the results you've achieved. For example, mention a marketing campaign you've optimized through data analysis, resulting in increased ROI or customer engagement metrics.

Skills you can include on your Marketing Data Analyst resume

Template 11 of 19: marketing data analyst resume example.

Marketing data analysts are essentially data analysts that are focused on marketing and growth initiatives. The skill sets to mention on a marketing data analyst resume are generally exactly the same as other data analyst resumes, but you should also include marketing campaigns or tools in a skills section.

   Target your resume to the job

Resume bullet points describe achievements that are well targeted to the job, such as 'designed campaign strategies'. This is likely aligned to the exact marketing data analyst job description. =

   Good use of action verbs

This data analyst resume uses action verbs like "Identified" and "Spearheaded", which show recruiters that they're a strong data analyst hire.

Template 12 of 19: Financial Data Analyst Resume Example

Financial data analysts are like the fortune tellers of the financial world – they use data to predict future trends and guide business decisions. It's a role that's more complex than ever, especially given the rising influence of big data and AI in the finance sector. When writing your resume, remember that you're not just showing your ability to crunch numbers - you're showcasing your capability to derive meaningful insights from vast amounts of data and convert them into actionable business strategies. The finance industry is evolving fast and companies are relying heavily on data to stay ahead. So, job seekers for this role should reflect that reality in their resumes. This isn't about listing all your past roles and responsibilities; it's about showing how you've used your skills to make a real difference. Companies want analysts who can provide fresh perspectives, help drive efficiencies and enable smart decision-making.

Tips to help you write your Financial Data Analyst resume in 2024

   highlight your quantitative achievements.

Prove your skills with hard data. Instead of simply stating that you're good at data analysis, provide examples where you made a significant impact using your skills. Did your analysis help increase revenue, or reduce costs? Put that in. Quantify your achievements as much as possible.

   Showcase your familiarity with financial systems

You should highlight your experience with financial systems, data platforms, and analytical tools that are widely used in the industry. This might include software like SAS, SQL, Python, or platforms like Oracle, SAP. Mention if you have advanced Excel skills or certification in financial modeling.

Skills you can include on your Financial Data Analyst resume

Template 13 of 19: financial data analyst resume example.

Financial data analysts are just data analysts that are in the financial industry. If you're applying for a data analyst role in 2023, you should include financial data analyst skills like Python and Finance Modeling into your resume.

   Strong resume bullet points

This job seeker uses resume bullet points that are punchy, and most importantly, contain numbers that demonstrate the significance of their accomplishment.

   Leadership and teamwork

This data analyst resume demonstrates good examples of leadership and teamwork with bullet points like 'Managed a cross-functional team'. This tells data analyst recruiters that you have both the hard and soft skills for the job.

Template 14 of 19: Experienced Data Analyst Resume Example

An experienced data analyst collects, stores, and deduces information from large quantities of data. This requires experience with industry-standard data analysis tools, as well as a very analytical and thorough approach to your work. As this position is not an entry-level position, recruiters will be looking to see your previous experience as an analyst as well as an educational history in mathematics, statistics, business, or a similar field. Take a look at this well-structured experienced data analyst resume.

Tips to help you write your Experienced Data Analyst resume in 2024

   include analyst experience outside of data analysis..

There are many transferable skills for analysts in different sectors. So if you have been an analyst outside of data analysis, be sure to include it in your resume. This applicant has included their experience as a financial analyst and business analyst, which are closely related to data analysis.

   Include professional certification and courses in place of a bachelor’s degree.

If you do not have a bachelor’s degree in mathematics, business, statistics, or a similar field, we suggest you pursue professional certification or take online courses. It will indicate to recruiters your level of commitment to your profession and your level of knowledge.

Skills you can include on your Experienced Data Analyst resume

Template 15 of 19: junior data analyst resume example.

A junior data analyst collects and interprets data to help their superiors in their decision-making for the company. As a junior data analyst, you will most likely be working in a team and will be assisting a senior data analyst and/or be answerable to the department head. This position requires collaborative skills as well as strong analytical skills. Recruiters would prefer to see an educational history in mathematics, statistics, or a related field, and a current industry-standard tools list. Take a look at this strong junior data analyst resume.

Tips to help you write your Junior Data Analyst resume in 2024

   show off your collaboration experience..

As a junior data analyst, you will most likely be working as part of a team. So show off any experience where you worked in a team to achieve something impressive. This applicant ‘assisted with developing 7 new mobile apps used by 200k customers’.

   Showcase your tools list.

As a junior data analyst, you will most probably be assigned to do the more grueling data analysis work. Prove to recruiters that you are experienced and capable of doing that by ensuring that your tools list is extensive and current. So if there is a new data analysis tool, ensure you learn how to use it quickly and add it to your tools section.

Skills you can include on your Junior Data Analyst resume

Template 16 of 19: healthcare data analyst resume example.

Healthcare data analysts use data to make beneficial decisions in patient care, medicine, and healthcare center operations. Some of the data you may be looking at includes pharmaceutical data, behavioral data, clinical data, etc. Recruiters will expect you to see a background in the healthcare industry in the experience section of your resume. A bachelor’s degree in a healthcare-related field or a data analysis related field will also be expected. Take a look at this successful resume that shows both.

Tips to help you write your Healthcare Data Analyst resume in 2024

   show your healthcare industry knowledge..

Industry knowledge is particularly important for this position. So be sure to list what sector of healthcare you are particularly knowledgeable about. This applicant has listed health insurance and HIPAA as some of their areas of expertise.

   Include any healthcare industry certification.

Because you will not find a bachelor’s degree called healthcare data analysis, a good way to show that you are particularly knowledgeable and experienced in this particular field/position is to get certification in healthcare data analysis or something very close to that. This applicant has 3 strong related certifications for this position.

Skills you can include on your Healthcare Data Analyst resume

Template 17 of 19: business data analyst resume example.

A business data analyst collates and interrogates data to help with decision-making aimed at optimizing profit and efficiency in a company. This position requires technical skills and also conceptual skills. You will also need to be a good collaborator as you may be working cross-departmentally. A bachelor’s degree in business administration, mathematics, statistics, or a related field would be highly appreciated by recruiters. Extensive experience as an analyst and an up-to-date skills and tools list would also be beneficial.

Tips to help you write your Business Data Analyst resume in 2024

   show your impact on the bottom line..

An easy way to impress recruiters is to quantify your successes. It makes it easier for them to understand your brilliance and helps to set you apart from your competition. This applicant has employed this tactic with much success.

   Highlight your most impressive achievement.

Sometimes your most impressive achievement may get lost amongst your other achievements listed in your ‘work experience’ section. To make sure this doesn’t happen, mention this achievement in the introduction section of your resume. It will be hard for recruiters to miss it.

Skills you can include on your Business Data Analyst resume

Template 18 of 19: power bi data analyst resume example.

As the name suggests, a Power BI data analyst uses Microsoft’s Power BI, to collect and synthesize data to gain information and assist in decision-making in a company. This position requires a Power BI expert, and experience with similar software would be a plus to recruiters as well. As with any other analyst, a recruiter would like to see a bachelor’s degree in mathematics, statistics, or a similar field. But keep in mind that your experience using Power BI is what recruiters will be looking at most. So if you have any Power BI certification, make sure to highlight that.

Tips to help you write your Power BI Data Analyst resume in 2024

   make sure you keep abreast of power bi updates..

Because you are being hired as an expert in Power BI, you need to ensure that you are experienced with the newest version of the software at all times. So make sure you periodically check for updated versions and ensure you mention the newest version of the software in your resume skills section.

   Focus on Power BI keywords/experience only.

Because this is such a specialized position, if you have a wealth of experience in the data analysis field, limit your experience section to Power BI related experience. That is what recruiters will want to concentrate on.

Skills you can include on your Power BI Data Analyst resume

Template 19 of 19: data analyst intern resume example.

A data analyst intern is an entry-level position. You will be working under a superior and will most likely be assigned simple or more mundane tasks as you prove your capabilities. You may not have a lot of experience to list down, so it is important to build out your skills, education, and extra-curricular sections. Take a look at this well-structured resume.

Tips to help you write your Data Analyst Intern resume in 2024

   work on getting certified..

You may not be able to impress recruiters with an extensive work experience section, but where you can impress recruiters and put yourself above your competition is by getting relevant certifications as you prepare to begin your data analyst career. This applicant has 3 impressive certifications.

   Include experience with transferable skills.

You may not have data analysis experience, but you may have other analytical, data-related experience. Even if it is in another field, feel free to include that experience. The skills used are transferable and therefore relevant.

Skills you can include on your Data Analyst Intern resume

As a hiring manager who has recruited data analysts at companies like Google, Amazon, and Microsoft, I've seen countless resumes for this role. The best ones always stand out by showcasing the candidate's technical skills, business acumen, and ability to communicate insights effectively. In this article, we'll cover six essential tips to help you create a compelling data analyst resume that will catch the attention of recruiters and hiring managers.

   Highlight your technical skills and tools

Data analysts use a variety of tools and technologies to collect, process, and analyze data. It's crucial to showcase your proficiency in these areas on your resume. Some key skills to include are:

• Programming languages: Python, R, SQL
• Data visualization tools: Tableau, PowerBI, Google Data Studio
• Statistical analysis software: SAS, SPSS, Stata
• Spreadsheet tools: Microsoft Excel, Google Sheets

When listing these skills, provide specific examples of how you've used them in your previous roles. For instance:

• Used Python and SQL to extract and analyze customer data from a MySQL database, resulting in a 15% increase in customer retention
• Created interactive dashboards using Tableau to visualize sales performance, enabling the sales team to identify top-performing products and regions

   Demonstrate your impact with metrics

Hiring managers want to see the impact you've made in your previous roles. Use metrics to quantify your achievements and show how your work has contributed to business success. Here are some examples:

• Analyzed customer feedback data and identified key drivers of customer satisfaction, leading to a 20% reduction in churn rate
• Developed a predictive model using R to forecast demand for a new product line, resulting in a 25% increase in sales

Avoid using vague or generic statements like:

• Analyzed data to provide insights
• Created reports and dashboards

Instead, be specific about the type of data you analyzed, the insights you uncovered, and the impact your work had on the business.

   Tailor your resume to the job description

Every company has unique data challenges and requirements. To stand out, tailor your resume to the specific job you're applying for. Review the job description carefully and identify the key skills and experiences the employer is looking for. Then, emphasize those skills and experiences in your resume.

For example, if the job description mentions experience with A/B testing, make sure to highlight any relevant projects you've worked on:

• Conducted A/B tests on the company website to optimize user experience, resulting in a 10% increase in conversion rate

Tailoring your resume shows that you've done your research and understand the company's needs. It also helps the hiring manager quickly see how your skills and experiences align with the role.

   Include relevant projects and coursework

If you're a recent graduate or have limited work experience, include relevant projects and coursework on your resume. This can help demonstrate your skills and knowledge to potential employers. For example:

• Capstone project: Analyzed a dataset of 10,000 customer reviews using Python and NLTK to identify sentiment and key themes
• Coursework: Machine Learning (A), Data Structures and Algorithms (A-), Database Systems (B+)

When describing projects, focus on your role, the tools and techniques you used, and the outcomes you achieved. This helps hiring managers understand the depth of your experience and how you can apply it to their organization.

   Showcase your business acumen

Data analysts don't just work with numbers; they also need to understand the business context and communicate insights effectively to stakeholders. Demonstrate your business acumen by highlighting experiences where you've collaborated with cross-functional teams, presented findings to executives, or made data-driven recommendations.

For example:

• Partnered with the marketing team to analyze campaign performance data, identifying opportunities to optimize ad spend and improve ROI by 30%
• Presented quarterly business reviews to senior leadership, communicating key insights and recommendations for strategic decision-making

Showcasing your ability to bridge the gap between data and business strategy will make you a more attractive candidate to potential employers.

   Keep it concise and easy to read

Hiring managers often review dozens of resumes for a single position. To make sure yours stands out, keep it concise and easy to read. Here are some tips:

• Use clear, concise language and avoid jargon or technical terms that may not be familiar to everyone
• Break up long paragraphs into shorter, easier-to-read sections
• Use bullet points to highlight key achievements and skills
• Ensure consistent formatting throughout the document

A well-organized, visually appealing resume will make it easier for hiring managers to quickly identify your qualifications and fit for the role.

Results-oriented data analyst with 5+ years of experience leveraging data to drive business decisions. Proficient in Python, SQL, and Tableau, with a proven track record of collaborating with cross-functional teams to identify opportunities and implement data-driven solutions. Passionate about using data to solve complex problems and deliver meaningful insights.

By following these tips and crafting a compelling resume, you'll be well on your way to landing your next data analyst role.

When writing your data analyst resume, keep in mind the following.

   Structure your bullet points using the Action Verb + Task + Metric framework

Try to always use this framework when writing your bullet points for your data analyst resume. Recruiters are always looking for quantifiable evidence of your impact, and using this framework will ensure you have. Here's what it looks like:

And here's another example:

   Fix your resume's mistakes using Score My Resume

Make sure you upload your resume to Score My Resume to see where you are going wrong and how to improve it.

Writing Your Data Analyst Resume: Section By Section

  header, 1. put your name on its own line.

Your name should be the most prominent part of your header, so it's important to put it on its own line. This will make it easy for hiring managers to quickly identify who you are.

Here's an example of a good name format:

Avoid formatting your name like this:

2. Include your job title

If you're applying for a data analyst position, it's a good idea to include your current or desired job title in your header. This will help hiring managers quickly see that you're a relevant candidate.

Good job title examples:

• Business Intelligence Analyst

Avoid job titles that are too generic or not relevant to data analysis:

• Business Professional

3. Add key contact details

In addition to your name and job title, your header should include your key contact details so hiring managers can easily get in touch with you. At a minimum, include:

• Phone number
• Email address
• LinkedIn profile URL

You can also include your city and state, but there's no need to include your full address. Here's an example of a good contact details format:

[email protected] | 555-123-4567 | linkedin.com/in/johnsmith | Seattle, WA

  Summary

A resume summary, also known as a professional summary or summary statement, is an optional section that goes at the top of your resume, just below your contact information. It provides a brief overview of your professional background, skills, and accomplishments that are most relevant to the job you're applying for.

While a summary is not required, it can be a valuable addition to your resume if you have several years of experience, are changing careers, or want to highlight specific skills or achievements that may not be immediately apparent from your work history. However, if you are a recent graduate or have limited work experience, you may want to skip the summary and focus on other sections of your resume.

It's important to note that you should never use an objective statement instead of a summary. Objective statements are outdated and focus on what you want from an employer, rather than what you can offer them.

To learn how to write an effective resume summary for your Data Analyst resume, or figure out if you need one, please read Data Analyst Resume Summary Examples , or Data Analyst Resume Objective Examples .

1. Tailor your summary to the data analyst role

When writing a summary for a data analyst position, it's crucial to showcase your relevant skills and experience. Hiring managers want to see that you have the technical expertise and analytical mindset needed to succeed in the role.

To do this, highlight your proficiency in key areas such as:

• Data analysis and interpretation
• Statistical modeling and data mining
• Programming languages (e.g., SQL, Python, R)
• Data visualization and reporting
• Problem-solving and critical thinking

For example, instead of a generic summary like this:

Results-driven professional with 5+ years of experience in various industries. Proven track record of success in team environments. Seeking a challenging role that utilizes my skills and experience.

Tailor your summary to the data analyst role:

Data analyst with 5+ years of experience using statistical analysis, data mining, and data visualization to drive business decisions. Proficient in SQL, Python, and Tableau. Proven ability to translate complex data into actionable insights and communicate findings to stakeholders.

2. Quantify your achievements

When possible, use specific numbers and metrics to quantify your accomplishments in your summary. This helps hiring managers understand the impact you've made in your previous roles and how you can contribute to their organization.

For instance, instead of saying:

• Experienced in using data to improve business operations

Quantify your achievement:

• Analyzed customer data to identify opportunities for improvement, resulting in a 15% increase in customer satisfaction scores

Other examples of quantifiable achievements for a data analyst might include:

• Reduced data processing time by 30% by implementing new automation tools
• Developed a predictive model that increased sales by 20%
• Created interactive dashboards that helped executives make data-driven decisions, saving the company $500K annually

By providing concrete examples of your successes, you demonstrate your value and make a stronger case for why you're the best candidate for the job.

  Experience

The work experience section is the most important part of your data analyst resume. It's where you show hiring managers how you've applied your skills to real-world projects and made an impact.

In this section, we'll cover what to include in your work experience section, how to write about your accomplishments, and tips for standing out from other candidates.

1. Focus on relevant data analysis experience

When writing your work experience section, focus on the experience that's most relevant to the data analyst role you're applying for. This could include:

• Analyzing large datasets to identify trends and insights
• Creating data visualizations and dashboards to communicate findings
• Collaborating with cross-functional teams to solve business problems
• Developing and maintaining databases and data pipelines

If you have experience in other areas, like customer service or sales, only include it if you can tie it back to relevant skills for a data analyst, like communication or problem-solving.

2. Highlight your impact with metrics

As a data analyst, metrics are your best friend. Use them in your work experience section to showcase the impact you've had in previous roles. For example:

• Analyzed customer data to identify opportunities for cross-selling, resulting in a 15% increase in revenue
• Created a dashboard to track key performance indicators, reducing time spent on manual reporting by 50%
• Developed a predictive model to forecast inventory demand, reducing stockouts by 20%

Whenever possible, quantify your achievements to give hiring managers a clear picture of your value.

3. Showcase your technical skills

Data analysts use a variety of tools and technologies to collect, analyze, and visualize data. Highlight your technical skills in your work experience section to show hiring managers you have the expertise they're looking for.

For example, instead of just listing 'data analysis' as a skill:

• Conducted data analysis to identify customer trends

Get specific about the tools and techniques you used:

• Analyzed customer data using SQL queries and Python, uncovering insights that led to a 10% increase in customer retention

4. Emphasize your collaboration and communication skills

Data analysts don't work in a vacuum. They often collaborate with cross-functional teams to turn data into actionable insights. Highlight your collaboration and communication skills in your work experience section to show hiring managers you can work effectively with others.

Partnered with the marketing team to analyze campaign data, identifying opportunities to optimize ad spend and increase ROI by 25%

This shows that you can work with other teams to drive business results.

  Education

Your education section is a key part of your data analyst resume. It shows employers that you have the necessary knowledge and training to succeed in the role. Here are some tips to make your education section stand out:

1. Put your education section near the top

If you're a recent graduate or have limited work experience, put your education section near the top of your resume, just below your summary or objective. This will immediately show employers that you have the relevant educational background for a data analyst role.

Here's an example of how to format your education if it's your strongest qualification:

Education Bachelor of Science in Data Science, XYZ University, City, State Graduation: May 2023 GPA: 3.8/4.0 Relevant Coursework: Machine Learning, Data Visualization, Big Data Analytics, Statistical Modeling

2. Include relevant coursework and projects

As a data analyst, you likely took courses and completed projects that are directly relevant to the job. Including these details can make your education section more impactful. List relevant coursework, capstone projects, or your thesis if it shows off data analysis skills.

Here's how you might showcase relevant coursework and projects:

• Relevant Coursework: Data Structures, Algorithms, Database Systems, Data Mining
• Capstone Project: Analyzed customer churn data to identify key factors leading to churn. Built predictive model in Python to forecast churn risk.

3. Add your certifications

Data analysis is a field where certifications carry a lot of weight. If you've earned any relevant certifications, include them in your education section to show your expertise.

Certifications to consider adding:

• Certified Analytics Professional (CAP)
• SAS Certified Advanced Analytics Professional Using SAS 9
• Cloudera Certified Associate (CCA) Data Analyst
• Microsoft Certified: Azure Data Scientist Associate

If you have several certifications, you may want to break them out into their own 'Certifications' section on your resume.

4. Keep it concise if you're experienced

If you're a senior-level data analyst with many years of experience, your education section should be brief. Employers will be more interested in your professional accomplishments. You can simply list your degree, university, and graduation year.

Here's an example of what not to do:

• Master of Science in Applied Mathematics, ABC University, City, State, 2005-2007. Thesis: A Study of Statistical Models for Predicting Housing Prices. Relevant Coursework: Probability Theory, Regression Analysis, Stochastic Processes, Time Series Analysis. GPA: 3.9/4.0

Instead, keep it short and sweet:

M.S. Applied Mathematics, ABC University

Action Verbs For Data Analyst Resumes

Your data analyst resume should contain strong action verbs which effectively describe your accomplishments. Here is a list of action verbs that are popular among strong data analyst resumes. Try not to repeat the same action verb more than twice on your resume. This ensures your accomplishments are unique and stand out.

For a full list of effective resume action verbs, visit Resume Action Verbs .

Action Verbs for Data Analyst Resumes

How to write a data analyst resume.

Here is the process for writing a resume for a Data Analyst role. The steps outlined will guide you to design a resume that shows you have what it takes to clean, process, and analyze business data.

Important information to include in your Data Analyst resume

1.1: include online profiles in your resume header.

Your resume header should include your name, your email address as well as your location. For a specialized role like this, it is advisable to include the job title, Data Analyst, alongside links to your online professional profiles such as GitHub, LinkedIn, and your website.

1.2: List technical Data Analyst skills in the skills section

Adding a skills section will allow you to include keywords that a resume scanner (ATS) is likely to be searching for. Here, you can include relevant hard skills such as 'SQL', 'Python', 'Data Analysis', 'Tableau', and 'Extract, Transform, Load (ETL)'. Organize these skills by proficiency level, and do not list more than 7 items.

Showcase your experience using bullet points

2.1: use strong action verbs and numbers in your bullet points.

Start your bullet points with strong action verbs such as 'Forecasted', 'Analyzed,' and 'Designed'. Action verbs immediately communicate to the recruiter which role you played in a project as a Data Analyst. Your bullet points should always follow the [Action Verb] + [Task] + [Metric] format. Take a look at the following example: Analyzed data from 20000 consumers to develop a multi-tiered pricing model that increased profit margins by 24%. Notice how the bullet point starts with an action verb, 'Analyzed', followed by the task. Also take note of how the bullet point uses a specific number, '24%', to quantify the accomplishment.

2.2: Point out previous promotions to show growth

If applying for a mid or senior Data Analyst role, it is beneficial to demonstrate leadership and managerial skills. You can do this by highlighting promotions that you have received in your past roles. Here are examples of bullet points that demonstrate this: Promoted within one year (a year ahead of schedule) due to strong performance and organizational impact. Promoted to Managing Analyst in 2 years, being the only member in a cohort of 45 Associate Consultants to be fast-tracked

Get past resume scanners (Applicant Tracking Systems)

3.1: use a standard google docs or word template.

Applicant Tracking Systems (ATSs) are automated programs that scan resumes for certain keywords and filter out those that do not meet the role's criteria. To get past the ATS and improve the chances of a Data Analyst recruiter seeing your resume, it is best to make use of Google Docs and Word templates. Be sure to convert your resume to PDF before submitting it.

3.2: Enhance the readability of your resume

Avoid including tables in your resume, as well as the multi-column layout since these can be problematic while parsing by the ATS. Do not submit a scanned copy of your resume as this can make it impossible for the ATS to read.

Finishing touches on your Data Analyst resume

4.1: remove buzzwords and soft skills.

Keywords that describe soft skills such as 'motivated', 'go-getter' and hardworking are best left out of your resume as they serve little purpose. Instead, you should demonstrate these skills through your experience. Below is an example that effectively demonstrates leadership skills without mentioning buzzwords. Deployed the internal tracking system six months ahead of schedule as project manager of an interdepartmental team of 15 people.

4.2: Fix your resume’s mistakes using Score My Resume

It is always a good idea to upload your resume to an online resume checker such as Score My Resume . The free tool will point out areas of your resume that need improvement and catch any errors that you might have missed.

Skills For Data Analyst Resumes

When writing your data analyst resume, you need to make sure you include hard skills in your resume that show recruiters you have the right experience. This not only ensures recruiters put your resume in their 'yes' pile, but this is also ensures your resume will make it past the initial resume screening stage (i.e. the applicant tracking system ). To help you get started, here are keywords and hard skills from data analyst jobs we've analyzed. To find keywords relevant to the job you're applying to, use Targeted Resume . You should always ensure you tailor your resume to the data analyst job posting you apply to. This will maximize your chances getting an interview.

• SAS Programming
• Data Analysis
• Clinical Data Management
• Healthcare Information Technology (HIT)
• Data Visualization
• Electronic Medical Record (EMR)
• Clinical Research
• R (Programming Language)
• Microsoft SQL Server
• U.S. Health Insurance Portability and Accountability Act (HIPAA)
• Data Analytics
• Healthcare Analytics
• Clinical Trials
• Data Management
• Electronic Data Capture (EDC)
• Healthcare Management

How To Write Your Skills Section On a Data Analyst Resumes

You can include the above skills in a dedicated Skills section on your resume, or weave them in your experience. Here's how you might create your dedicated skills section:

Skills Word Cloud For Data Analyst Resumes

This word cloud highlights the important keywords that appear on Data Analyst job descriptions and resumes. The bigger the word, the more frequently it appears on job postings, and the more 'important' it is.

How to use these skills?

Resume bullet points from data analyst resumes.

You should use bullet points to describe your achievements in your Data Analyst resume. Here are sample bullet points to help you get started:

Liaised with marketing to drive email and social media advertising efforts, using predictive modeling and clustering, resulting in a 35% increase in revenue

Built Tableau dashboard to visualize core business KPIs (e.g. Monthly Recurring Revenue), saving 10 hours per week of manual reporting work

Analyzed global opportunities for the company's different membership tiers; designed and introduced a new membership tier which is projected to generate 300k new users in its first year

Created Monte Carlo simulation using Pandas (Python) to generate 30,000 sample portfolios with 8+ constraints

Designed the data pipeline architecture for a new product that quickly scaled from 0 to 100,000 daily active users.

For more sample bullet points and details on how to write effective bullet points, see our articles on resume bullet points , how to quantify your resume and resume accomplishments .

Frequently Asked Questions on Data Analyst Resumes

What should a data analyst put on a resume.

• Header section: Here, include a link to an online profile such as LinkedIn or your portfolio. Your portfolio should showcase your work using visuals, dashboards, and graphs so it can be understood by non-technical hiring managers. It is also a good idea to include your job title—Data Analyst, alongside your name and country/city.

Analyzed data from 20000 consumers to develop a multi-tiered pricing model that increased profit margins by 24%.

• Education: Here, list your qualifications in analytics, statistics, computer science or equivalent areas. Keep this section brief, listing just the certification name, school, and graduation date.
• Skills section.

What skills should you put on a data analyst resume?

How do i improve my data analyst resume, other data & analytics resumes, engineering manager.

Integration Architect

Data Analyst Resume Guide

• Data Engineer Resume Guide
• Business Analyst Resume Guide
• Data Scientist Resume Guide
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• Data Governance Resume Guide
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• GIS Resume Guide
• Data Analyst Resume Example
• Entry Level Data Analyst Resume Example
• Senior Data Analyst Resume Example
• Analytics Manager Resume Example
• Marketing Data Analyst Resume Example
• Financial Data Analyst Resume Example
• Experienced Data Analyst Resume Example
• Junior Data Analyst Resume Example
• Healthcare Data Analyst Resume Example
• Business Data Analyst Resume Example
• Power BI Data Analyst Resume Example
• Data Analyst Intern Resume Example
• Tips for Data Analyst Resumes
• Skills and Keywords to Add
• Sample Bullet Points from Top Resumes
• All Resume Examples
• Data Analyst CV Examples
• Data Analyst Cover Letter
• Data Analyst Interview Guide
• Explore Alternative and Similar Careers

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29 Data Analyst Resume Examples for 2024

Data Analyst Resume

• Data Analyst Resumes by Experience
• Data Analyst Resumes by Role
• Writing Your Data Analyst Resume

The number of data analysts is expected to  grow by 25 percent  between 2020 to 2030, coupled with the  increase in pay transparency laws  making this the ideal time to get a data analyst job.

Fun fact: before starting BeamJobs, one of our founders worked as a data analyst for six years. With his guidance, we’ve reviewed many data analyst resumes to figure out what helps data analysts get more interviews.

Building a resume  and  data analyst cover letter  is the hardest part of this process. To inspire you, we chose  29 top data analyst resume samples  for different career stages.

Our data analyst resume examples are proven to help you put your best foot forward to get the job you’ve always wanted in 2024.

or download as PDF

Why this resume works

• Once you know what the employers are looking for, you can include directly applicable keywords and matching language in your work experience bullet points (provided the keywords truly describe you!)
• After you’ve determined the content and matching keywords for your bullet points, add in any quantifiable metrics that can showcase your experience and help prove your merit.

Data Analyst Intern Resume

• If you lack paid work experience in a field, consider it an opportunity to include personal projects on your data analyst intern resume where you demonstrated skills relevant to the position you’re applying to.

Entry-Level Data Analyst Resume

• Unsure how to  make a resume ? No problem! Start by using a  solid resume outline  to help you get a feel for what a resume looks like, then add your experience and skills one at a time.
• The first is to demonstrate programming, testing, modeling, and data visualization competency by building well-designed projects that solve real problems through code.
• The key here isn’t reinventing the wheel but creating something dynamic and unique that can’t be easily replicated with a few Google searches and a video tutorial.
• The second option is to invest time and effort into internships. They’re a fantastic way for an aspiring degree-holder to gain on-the-job experience.
• Some internships require a completed degree before starting. Although this is becoming more uncommon due to online coding trade schools, do some research regarding markets and locations.

Entry-Level Risk Adjustment Data Analyst Resume

• To impress hiring managers, include programming languages you’re familiar with, what you hope to do at your future job, and some of your passions within the field.
• The first is to build well-designed scalable projects that solve real problems through code. So, if you haven’t done any projects, now’s the time to start! Projects are a great way to fill your resume if you don’t have work experience.
• The second option is to get an internship. Some internships require a degree, but online coding trade schools and boot camps are becoming more popular and feasible.

Junior Data Analyst Resume

• Even when a project wasn’t part of a previous job, be as specific as you can by including examples or metrics to show your impact! 
• Ensure that any projects or accomplishments such as internships, classes, or volunteer initiatives, relate directly to the job role. 
• Including a career objective  can also help bulk up your resume with information about what you can offer. 
• Examples and quantifiable metrics of success can make any resume outshine the competition: And they’re extra important for junior data analysts! 
• Since data analysis focuses so heavily on numbers like profits and improvement percentages, include plenty of these to back your credibility. 

Senior Data Analyst Resume

• Highlight a lengthy career in data analyst roles with quantifiable data from multiple sources, jobs, leadership, and mentoring.
• Only include highly relevant ones like Python, SQL, Tableau, and Excel with additional modeling, data visualization, and product analytics keywords.

Senior Insurance Data Analyst Resume

• Including a  resume summary  on your senior insurance data analyst resume helps you highlight your lengthy career with quantifiable data from various sources and can help you land an interview by setting you apart from more novice competition!
• This  resume format  allows the employer to read your work history like an unfolding story, but with the punchline first.
• Only list  skills on your resume  that truly apply to the role at hand; you’ve got limited space—don’t waste it.

Experienced Data Analyst Resume

• The Standout template is basically your best friend since it lets you add your education, skills, and work experience without cramming everything. Cool tones like royal blue further give your experienced data analyst resume the professional yet visually appealing vibe.

HR Data Analyst Resume

• Don’t send your HR data analyst resume out the door without adding hard-hitting numbers like “Formulated 2 advanced Microsoft Excel models… saving $13,941 in extra talent acquisition costs.” This way you’re not just speaking data, you’re displaying its monetary value!

Power BI Data Analyst   Resume

• Take your Power BI data analyst resume up a notch by highlighting any Power BI-based task you’ve led and the kind of impact it created for the company.

Excel Data Analyst   Resume

• Use the Standout template from our library to have enough space for adding all your skills, experience, and education. Include as many skills as you can in your experiences to prove you can always switch from Excel to other tools to extract and refine data.

Python Data Analyst   Resume

• Take a leaf from how William bolds and underlines reducing vehicle downtime by 27% and saving $128K monthly in yearly maintenance costs. Similarly, identifying trends and revenue growth opportunities that increased monthly sales by $101,972 is sure to catch the hiring manager’s eye. You could italicize instead of underlining but let the bold stay.

Data Governance Analyst   Resume

• For your case, achievements that touch on cutting costs (cue:  saving 13% in infrastructure expenses ) and reducing process times (cue:  saving 12 hours per week ) would propel your candidacy to early success.

Data Quality Analyst Resume

• Therefore, to have a soft landing for your application, don’t spare any skills that you feel are relevant to the job—either in your resume or letting an AI cover letter generator have a go at your application. Including your mastery in Talend Data Quality, QuerySurge, Informatica Data Quality, and more would be a great strategy to impress potential employers.

Financial Data Analyst   Resume

• List down the best financial institutions like Citi and Deloitte that you’ve worked for (even for a position as low as an intern or volunteer!) and you’ll be on every employer’s hiring list. It’s also a great idea to list any certifications you hold such as “Chartered Financial Analyst.”

R Data Analyst Resume

• Follow John’s lead and state how you’ve worked with data and specifically (very important!) on R-based frameworks. Keep things simple and vary how you’ve helped each company during your tenure.

Alteryx Data Analyst   Resume

• For instance, rather than simply listing your proficiency in data manipulation, describe how you leveraged your expertise in this area to free up storage space and increase efficiency for the organization.

Big Data Analyst Resume

• Take your big data analyst resume to the next level by demonstrating your prowess in presenting actionable analyses to key organizational stakeholders.

Clinical Data Analyst Resume

• Even a candidate with years of industry experience can optimize their clinical data analyst resume with an additional certification. Make sure recruiters can easily spot that you’re a Certified Clinical Data Analyst (CCDA) to add an extra level of credibility to your background.

Creative Data Analyst Resume

• This will demonstrate to hiring managers that you bring a fresh perspective to the table—always a plus on a creative data analyst resume!

Lead Data Analyst Resume

• Formatting your resume  in reverse-chronological order is always a good way to wow recruiters with your most recent experience and relevant accomplishments. Put your best foot forward!
• Make sure your examples of leading roles are also as well-rounded as possible since this is another quick way to demonstrate how much you’ve learned throughout your career. 
• Since lead data analyst roles are so focused on details and critical thinking, make sure you highlight these areas, too! 
• Use solid, quantifiable metrics like improvement rates and dollar-amount company savings to back up your achievements. 

Healthcare Data Analyst Resume

• For instance, if you’ve completed a B.S. in Health Care Informatics, it means you’ve spent an extensive period of time learning how to analyze and interpret healthcare data and information—which is what most recruiters will be looking for in your healthcare data analyst resume .

Business Data Analyst Resume

• By doing so, you put your most recent accomplishments at the very top of your business data analyst resume —which is where a recruiter or your next potential employer is going to look first.

Marketing Data Analyst Resume

• For instance, if you’ve completed a Professional Certified Marketer (PCM) certification, it’s clear you understand the nuances required to be a marketing professional. Then, you can use the work experience bullet points to focus on the analysis aspect of your role.

AWS Data Analyst Resume

• You only have a couple of sentences to do so, but it’s still a powerful way to tell a recruiter exactly what you bring to the table and what they stand to gain if they hire you.

SQL Data Analyst Resume

• Start by analyzing the requirements in  data analyst job descriptions  to get an idea of what employers require.
• Speak with your current manager if you’re anxious about changing position titles. Always err on the side of caution, and ask for permission instead of forgiveness.

Data Analytics Manager Resume

• Making your resume easy to read  can be as simple as using a  resume template , but it also means  condensing your bullet points as much as you can ,  including metrics  to boost your credibility quickly, and leaving just enough white space to make it a breeze to skim.
• The first is the job description’s list of required skills. The second source is a job board advertising analytics manager roles in a specific geographic location. 
• Both sources give you a general idea of what you need to emphasize in your bullet points and what KPIs to use to complement your experience.

Revenue Reporting Data Analyst Resume

• Your resume should be formulated specifically to target the list of requirements from the company  job description . 
• Use our  resume checker  and a spellcheck extension (like Grammarly) to ensure your resume is error-free.

Data Analyst/Finance Analytics Resume

• Including numbers and percentages is the fastest way to show employers your qualifications. Use metrics to show how you’ve made significant improvements whenever you can.
• Using professional yet stylish  resume templates  and  resume outlines  equips you to add sections specifically for certificates and licenses.
• Don’t be afraid to use a hint of modest color to enhance the overall look of your resume. You’re a pro with personality after all!

Related resume guides

• Data Science Resume
• Financial Analyst
• Computer Science
• Data Engineer

Data Analyst Resume Guide for 2024

According to the  U.S. Bureau of Labor Statistics , the employment of computer and information research scientists (including data analysts) is projected to grow 16 percent from 2018 to 2028. This is much faster than the average for other jobs!

Due to the high demand and high wages, it makes sense that people are flocking to apply for data analyst roles.

But that doesn’t mean you should be discouraged. Applying online to jobs can feel like applying in a black hole, and we know it sucks.  It took one of our founders 77 job applications  before he landed his first data analyst job at Geico, and the next job was much easier to get.

One issue with applying for data analytics roles is that these titles are not standardized across different companies. At one company, data analysts might spend their time building reports in Tableau, while at another, they might be writing machine learning models for production.

Because of this variability, it can be tough to be sure to include the correct information in your data analytics resume. With this guide, you’ll put your best foot forward, no matter which data analyst roles you’re seeking!

Show off your data analyst skills

First, you need to show you have the right abilities for the job! This means you need to accomplish two goals with the  skills section of your data analyst resume . First, you have to be able to get past the automatic keyword filters in the applicant tracking system (ATS), which companies use to filter applicants. Next, you want to demonstrate your technical proficiency to the person reviewing your resume.

If you’re unsure which skills to include, we analyzed the data to learn  which skills are most in demand for companies hiring data analysts .

These two goals are, unfortunately, mostly in opposition to each other. If your goal was to just get past the ATS, you’d list every skill to get your foot in the door:

Bad — avoid a long list of generic skills

The problem? This method is a big red flag to technical hiring managers. You should only include skills you’d be comfortable discussing in your  data analyst interview . Plus, your  skills section shouldn’t take up more than 20 percent  of the page.

Any reasonable employer won’t expect you to know SAS, R,  and  Python. Instead, just list the technical skills that you’ve coded in before. And avoid including a skill like “data mining” or “data analysis” since a technical hiring manager knows these are just blanket terms that don’t mean much. Instead of “data mining,” list actual techniques you’ve used, like “decision trees” or “logistic regressions.”

But even when narrowing it down, sometimes your skills list looks cluttered and hard to read. Never fear; there are multiple ways to organize your skills section! For starters, you can list your skills by how proficient you are with them (“Advanced” vs. “Familiar,” for example). Alternatively, you can list your skills by skill type. You can even mention the years of experience you have with each tool.

For programming languages, mention the libraries and frameworks you use for data visualization and manipulation in that programming language.

Good—specific skills and modeling techniques

Your data analyst objective

Most of the time, you don’t need to include a  resume objective  or  resume summary ; a mistake many data analysts make. If a resume summary or objective doesn’t add value to your application, it’s okay to leave it out.

Here’s a sample data analyst resume objective that you would want to leave off of your resume:

Bad—uninformative resume objective

Why leave this off? It’s redundant. Suppose you already demonstrate in your resume that you used tools like Python and SQL to turn data into actionable insights. In that case, your objective doesn’t tell the person reviewing your resume any new information.

When to include a resume objective

• You’re undergoing a career change. You can say something like, “After 4 years of working in operations, I am now looking to leverage my expertise in turning data into insights as a data analyst.”
• You have a specific interest in a given role or company that makes you an especially strong candidate. For example, “Reading Match.com’s data blog ignited my pursuit of a career in data analytics, and I want to further contribute to the data-driven culture at the company.”

Summaries are similar, but they’re for candidates with over 10 years of experience and can include more personal achievements. There isn’t much difference between a resume summary or an objective; all you need to know is when you should include them.

Data analyst resume format

Here are some quick tips for formatting your data analytics resume:

• Keep it to one page.
• Break up bullet points into small, consumable pieces of information.
• Don’t refer to yourself with “I” or “we,” as it takes up room and looks unprofessional.
• Double, triple, and quadruple-check your grammar and spelling. One error can send your resume into the “no” pile!
• Each bullet point on your resume should be a self-contained, complete thought.

When a hiring manager reviews 50+ resumes for a given role, they quickly look for reasons to say “no.” By using these  resume-formatting tips , you make it easier for the hiring manager to see your worth and ask you for an interview, getting you one step closer to a job. 

Contact information

Of all the places to make an error, your contact information is the  worst  place to have it happen. One of our team members recounted their early days out of college as a data analyst. When they were applying for jobs, they accidentally wrote the wrong email address on their resume for seven different positions.

Even if they were perfectly qualified for the role, there was no way to contact them because of a minor mistake. So believe us when we say you need to  triple-check this section for any spelling, grammar, or link errors .

As part of your contact information, you should include your name and the role you’re applying for (even if it’s not your current role).

You don’t need to include your full address in this section, but you should list your city and zip code. You also need your phone number just in case your employer prefers that method.

Finally, include a link to your LinkedIn profile and anything else that might convey why you’re a great data analyst. If you have an active Github, include a link to that. If you do a lot of Kaggle contests, include a link to your profile. Have a personal blog where you talk about election data? Be sure to include a link.

Data analyst projects for your resume

If you’re entry-level and looking for your first full-time role, including projects on your data analyst resume is an absolute must. However, the more work experience you get, the more projects should become less critical. By the time you have four-plus years of experience in the field, you should only include a project of which you’re exceptionally proud.

What projects should you list? Anything where you identified (or were given) a problem and you used data to come up with an answer to that problem. It’s okay if it’s a class project, but it’s even better if you took the initiative yourself.

If you don’t have any such projects, now is the time to work on some. Do you have a question you’ve never answered? An experiment you’ve been longing to try? Think of a way to gather and analyze data to sate your curiosity.

Here’s an example: one of our founders had a hunch that the major job boards (Indeed, Glassdoor, and LinkedIn) essentially had the same jobs for data science roles. So, he manually collected data, analyzed it, and wrote about it to determine the  best job board for data scientists .

The projects you include don’t need to be exhaustive or ground-breaking. Employers just want to see that you can ask a question, use data to answer it, and present your findings reasonably and clearly.

Good—show you can answer your own questions with data

When talking about your projects, here’s how you should frame what you did:

• Clearly state the question you were answering or the problem you were trying to solve
• Show what tools or languages you used to solve the problem
• State the impact of the work you did

Your projects section is also an opportunity to provide more context around the programming languages and libraries you listed in your “skills” section. 

Like the “projects” section, the education section of your resume will be longer for entry-level data analysts relative to more experienced data analysts. You’ll want to include relevant courses you took in school related to data analytics for entry-level data analysts.

Courses relevant to data analytics are any mathematics, statistics, programming, and economics classes you took. To be an effective data analyst, you need to apply the principles you learned in these classes to real-world problems and datasets.

For entry-level roles, include relevant classes you took in school

Regardless of your experience level, you should always mention the school you attended, what you majored in (including minors or certifications), and when you graduated. This would also be the place to list any boot camps or relevant online courses you may have taken in the field.

If your background is in academia, you can also list any publications you may have co-authored. Be sure to include the title of the magazine and a link to allow the hiring manager to read further if they’re interested.

Only mention your GPA on your resume if it’s something you want to highlight—generally, only list your GPA if you’re entry-level and obtained anything above a 3.0.

Work experience

You analyze data for a living, so you know that numbers count when it comes to information. So when you’re talking about your work experience, your goal should be to highlight your accomplishments using numbers and estimates.

The formula for talking about work experience

“Specific contribution to project mentioning specific tools and skills”

“quantitative impact of the project”

“Performed a customer cohort analysis using SQL and Excel and recommended an email campaign for one customer segment”

“that lifted monthly retention by 10%”

Enter your text here…

When discussing your work, especially if it was a team project, emphasize your specific contributions. For example, you may have made a product recommendation based on a previous analysis. You’d want to talk about that particular recommendation on your resume instead of the built feature.

When talking about the quantitative impact, it’s okay to talk about the project as a whole. Following the example above, it’d be impossible to tease out the value of your product recommendation versus the engineer’s impact who built the feature since it’s a team effort. You’d say the feature had a revenue impact of $X on your resume.

Data analysts work across many different teams and projects in a company, so it’s not always easy to tie your work to a revenue impact. Still, try estimating your contributions using metrics to make your resume stand out.

These can be very rough estimates; you just want to make it clear that you’ve contributed to positive outcomes for the businesses where you worked.

Ways to quantify the impact of your analytics work

• “Used Python and SQL to determine a specific change in the landing page, resulting in a 10% boost in free trial activation rate”
• “Streamlined and automated a key business report in Tableau, saving the team 10 hours of reporting each week”
• “Used SQL and Excel to recommend ending contracts with worst-performing vendors, resulting in a costs savings of $100,000 annually”
• “Built data visualizations in Excel to demonstrate the efficacy of marketing plan, resulting in the close of a $1.3M Series A”
• “Determined through analysis in Python that emailing customers who had been inactive for 7 days resulted in a retention improvement of 7 basis points”
• “Identified procedural areas of improvement in hiring data to improve the time-to-hire for key roles by 11 days”
• “Used SQL and Excel to identify common complaints amongst new customers, leading to changes that improved new customer satisfaction by 14%”

When formatting your work experience, always list your most recent work at the top of your resume and list your other positions in reverse-chronological order.

Just to hammer home our point even further, here’s an example of the same work experience. One is stated in a quantitative impact, and one is not. 

Bad—no quantitative impact

Good—quantitative impact

Tailor your resume for each job

For each role to which you apply,  make minor edits to your resume  based on the  data analyst job description . Fortunately, you don’t have to completely rewrite your resume; just a few tweaks will do.

For example, let’s say you’ve done projects in both Python and R, and your resume heavily leans into your Python experience. If you apply to a job that mentions R, you should change your resume to discuss your R experience.

Similarly, if you have specific projects that relate to the job you’re applying for, include those projects. If you’re applying for a marketing data analyst role and have experience building marketing mix models, your application will become significantly stronger by mentioning those mix models.

Let’s say you’re applying to this job:

This seems like a heavy data visualization role. Instead of mentioning predictive modeling, talk extensively about your experience building robust data visualization in Tableau.

Change this:

How to Write an Effective Data Analyst Resume

Here are the major takeaways you should keep in mind when  writing a professional resume :

• Keep it to one page and  proofread, proofread, proofread .
• Otherwise, don’t let your education section take up a lot of space.
• You don’t need a summary or objective section on your resume unless you’re undergoing a career change or have over 10 years of experience.
• Only include skills on your resume for which you’d be comfortable being interviewed.
• Mention your specific contributions and quantify the overall project’s impact on the business.

By following this guide, you’ll be able to quickly and convincingly make the case that you’re a great fit for the data analyst role for which you’re applying. 

Applying for jobs isn’t easy, but you’ve taken a huge first step toward landing that dream job. Now all that’s left is to write,  double-check your resume  for errors, and submit it to your dream job!

15 Data Analyst Resume Examples for 2024

In this guide, we'll explore proven data analyst resume examples and share clear steps to build a solid profile. Learn to highlight skills like SQL proficiency and data visualization that catch a hiring manager's eye. We include tips on presenting your experience with tools like Python or R, and how to effectively showcase project outcomes. Tailored for new entrants and seasoned professionals in data analysis, this article is your roadmap to a stronger resume.

• 29 Oct 2024 - 1 new resume template (Senior Predictive Data Analyst) added
• 28 Sep 2024 - 1 new section (Showcase leadership and growth) added
• 28 Aug 2024 - 1 new resume template (Data Analytics Consultant) added

  Next update scheduled for 15 Nov 2024

Here's what we see in top data analyst resumes.

Show Impact With Numbers : You should show how you've made a difference with numbers. Common metrics include reduced data processing time , increased sales forecasting accuracy , lowered report error rates , and enhanced customer targeting strategies .

Match Skills With Job Description : Include skills you have that are also in the job description. Some strong ones are SQL , Python , data visualization , machine learning , and statistical analysis . Pick the ones you know.

Industry Relevant Tools And Certifications : Good resumes often list important tools and certifications. For example, show certified Tableau expert or mention advanced Excel usage . This shows you have practical skills.

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widget 2: red / but not serious Here's a short quick tip / warning for people to include. If your symptoms get worse or do not improve after 1 day, go to a lower altitude if you can. Try to go around 300 to 1,000 metres lower.

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Data Analyst Resume Sample

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Senior Data Analyst Resume Sample

Where to place your education section.

If you're a recent graduate or a current student stepping into a data analyst role, you should place your education in the spotlight. This means placing it before your work experience on your resume. If you've completed further or continuing education such as a master's degree or a bootcamp, highlighting these early on can explain potential gaps in your employment history and showcase your commitment to growth.

For those who've been in the workforce for a while, place your work experience ahead of your education. Your practical skills and hands-on experience in data analysis are what potential employers want to see first.

Junior Data Analyst Resume Sample

Breaking into the data analyst field.

Entering the data analyst field differs from many other industries. You must demonstrate your adeptness in dealing with data. This includes proficiency in statistical analysis software like R or Python, as well as database languages such as SQL. Showcase your relevant experiences in these areas as well as any relevant projects to pique potential employers' interests.

Another important skill is your ability to interpret and present data in a meaningful way. Evidence of strong analytical skills, problem-solving abilities, and communication competencies play a decisive role in demonstrating your potential as a successful data analyst.

Data Engineer Resume Sample

Striking the right length for your resume.

Length is an essential aspect to consider in your resume. Aim to fit your data analyst resume onto one page, especially if you are an entry or mid-level applicant with less than 10 years of experience. A concise and precise resume helps to quickly communicate your qualifications and achievements to potential employers.

Senior-level professionals can extend their resume to two pages. In the case your resume extends beyond one page despite editing, consider opting for a template that optimizes space, or shortening older sections such as education or extracurricular activities.

Data Analyst with Machine Learning specialization Resume Sample

Highlight data visualization skills.

As a hiring manager, I look for your ability to present data in clear, visual formats. To stand out, show how you turn complex data into visuals that anyone can understand.

• List specific visualization tools like Tableau or Power BI that you’ve mastered. Give examples of how you used them to tell a story with data.
• Describe any dashboards or reports you created that led to key business decisions or actions.

Your resume should also reflect how you use visualization to communicate insights. Employers value analysts who not only draw insights from data but also share those insights effectively.

Career Transition to Data Analyst Resume Sample

Understand resume screeners.

When you apply for jobs, your resume often goes through a resume screener called an Applicant Tracking System (ATS). This system looks at your resume to see if it matches the job you want. It is important for you to know how it works so you can make your resume better.

Here are ways to help your resume do well with these systems:

• Use keywords that match the job description. For a data analyst role, include terms like 'data mining', 'SQL', 'Python', 'data visualization', and 'statistical analysis'.
• Make sure your resume is clear and in a format the ATS can read. Use simple headings like 'work experience' and 'education'. Avoid images or charts.

Follow these steps to increase the chance that your resume will be seen by a person.

Lead Business Intelligence Analyst Resume Sample

Capitalizing on industry specifics.

In the data analyst industry, showcasing your technical skills is vital. However, don't forget about your soft skills. Your ability to communicate complex data insights in an understandable way to non-technical team members or stakeholders can make the difference between a good data analyst and a great one.

Furthermore, any evidence of previous work where your data analysis led to successful decisions or changes within a company should be accentuated. This will give potential employers tangible evidence of your ability to create meaningful change with data.

Statistical Data Analyst Resume Sample

Avoid vague language.

When you apply for a job as a data analyst, be clear and specific about your skills and experiences. A common mistake is using vague terms that do not give a clear idea of what you can do. Instead of saying 'knowledge of data analysis tools,' list the specific tools you know how to use, like 'proficient in SQL, Python, and Tableau.' This gives a better understanding of your abilities.

Many resumes also fail to highlight key accomplishments. It is important to show the results of your work. For example, instead of writing 'Responsible for data analysis,' you could say 'Improved sales forecast accuracy by 15% through advanced data analysis.' This tells the reader exactly what you accomplished and how it benefited your previous employer.

Healthcare Data Analyst Specialist Resume Sample

Customize your resume.

You need to show you're right for the job. Focus on what matches the job. Make it easy for hiring managers to see your fit. Tailoring your resume is key to this. It tells us you understand the work and have the skills.

• Show your skills with data. Mention tools you used like SQL or Python . Tell how you used these tools to help your last job.
• If aiming for a senior role, talk about your lead experience. Use numbers like 'led a team of 8 analysts'. Show your work with top managers.
• If you're new to this field, link your old job to the new work. If you worked with numbers, say how. Say you made reports or found ways to cut costs.

Marketing Data Analyst Resume Sample

Showcase your achievements, not just duties.

You need to focus on what you have achieved, not just the tasks you have done. A list of duties won't show how you stand out. Instead, share your successes. These should be specific to being a data analyst.

Here's how to change a responsibility into an accomplishment:

• Before: Responsible for maintaining data accuracy in monthly reporting.
• After: Improved data accuracy by 20% through strategic data cleansing, enhancing the reliability of monthly reporting.
• Before: Managed large datasets for analysis.
• After: Streamlined data analysis by developing a new data management process, cutting down on processing time by 30%.

Financial Data Analyst Resume Sample

Use strong action verbs.

When you create your resume as a data analyst, choosing the right words is key. You need to show that you can do the job well. Use verbs that tell how you handle data and solve problems. This makes your resume stronger and helps employers see your skills.

Start each point in your work experience with a verb that catches the eye. These action verbs should match what a data analyst does every day. Here are some good examples:

• To show you can find and understand data, use analyzed , calculated , assessed , measured , and quantified .
• When talking about how you share your findings, use reported , presented , visualized , articulated , and summarized .
• To show you can make sense of complex information, use interpreted , examined , extrapolated , charted , and decoded .
• If you have improved any processes, highlight this with enhanced , refined , streamlined , optimized , and revised .
• For roles where you led or managed projects, verbs like coordinated , directed , oversaw , supervised , and orchestrated are strong choices.

Want inspiration for other action verbs you can use? Check out synonyms to commonly used action verbs like Coordinated , Increased , Consulting , Build , Performed .

E-commerce Data Analyst Resume Sample

Key skills for data analysis.

As you prepare your resume, focus on the specific skills that show your ability to analyze data effectively. These skills are important to include because they help you pass through applicant tracking systems (ATS) that many companies use to filter resumes.

Here are some top skills you should consider:

• Statistical analysis
• Data mining
• Data modeling
• Database management
• Python or R for data manipulation
• Machine learning
• Data visualization tools like Tableau or Power BI
• Big data platforms such as Hadoop or Apache Spark
• Excel for spreadsheet analysis

You don't need to have all these skills, just those that match the job you want. List your skills in a dedicated section and give examples of how you've used them in your past work in the experience section. This shows employers that you can put your skills into action. Remember, be honest about your skill level to set clear expectations for potential employers.

Senior Data Visualization Specialist Resume Sample

Showcase leadership and growth.

As a data analyst, showing growth in your career is key. You want to make sure you highlight any leadership roles or promotions, as these are strong indicators of your skills and reliability. When crafting your resume, think of times you've taken the lead on projects or have been recognized with a higher position.

• For example, if you led a team to analyze market trends which increased company revenue, mention it. You could write 'Led a team of 4 analysts to develop a new market trend model, resulting in a 10% revenue increase.'
• If you've been promoted, detail the progression. You might say 'Promoted from junior to senior data analyst within 18 months due to strong performance in predictive modeling and team collaboration.'

Even if you're unsure how to show these experiences, you can think about times you've been asked to train new team members or when you've managed a significant part of a project. These are also good signs of leadership and can be included.

• A statement like 'Trained 5 new hires in company-specific data analysis tools and processes' shows leadership.
• Or 'Managed data integration project for new CRM software' reflects both responsibility and the trust your employer placed in you.

Data Analytics Consultant Resume Sample

Quantify your impact.

When you share your past work, numbers can show your impact clearly. They help me see the value you could bring to my team.

Think about how you have used data to make decisions. Did you help save money or time? Maybe you made a process better. Here are ways to show this:

• Include percentages to show changes in efficiency. For example, 'Optimized data queries, leading to a 20% reduction in load times.'
• Use dollar amounts if you helped save or make money, like 'Identified cost-saving opportunities that reduced expenses by $10,000 annually .'

Even if you're unsure of the exact number, estimate. Ask yourself: How much faster did the project finish? How much less did we spend? Look for:

• Time savings , such as 'Automated report generation, saving 10 hours per week.'
• Error reductions in data processing, e.g., 'Improved data accuracy by 15% .'
• Customer satisfaction jumps due to better data analysis, like 'Enhanced customer targeting, increasing satisfaction scores by 25% .'

Senior Predictive Data Analyst Resume Sample

Tailoring your resume for company size.

When you apply for data analysis roles at small businesses like startups, you should show how you can wear many hats. Your resume might say, 'Managed end-to-end data processes, from collection to visualization, supporting rapid decision-making.'

For big firms like Google or IBM, highlight your ability to work with complex data sets and cross-functional teams. Consider writing, 'Analyzed large data sets to derive actionable insights, collaborating with teams across the business.'

• For startups, emphasize versatility and the ability to work independently.
• For large companies, focus on your specialized skills and experience with large-scale projects.
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10 Professional Data Analyst Resume Examples for 2024

Whether you are an entry-level or senior data analyst, you need a perfect data analyst resume. Follow our guide and learn how to make your resume for a data analyst job shine.

Your data analyst resume is not just a document; it's a dynamic code that speaks volumes about your analytical prowess.

Crack the code for a successful data analyst career with our guide and professional examples.

This guide will show you:

• 10 great data analyst resume examples that get jobs.
• Step-by-step instructions on how to write a resume for data analysts.
• Tips for writing both entry-level and experienced data analyst resumes.
• How to ace your data analyst job description on a resume.

Save hours of work and get a job-winning resume like this. Try our resume builder for free. Start by choosing a resume template .

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Need a resume for a different type of IT job? See our other guides:

• .NET Developer Resume Guide
• Computer Science Resume Example
• Data Scientist Resume Sample
• Full Stack Developer Resume
• IT Manager Resume Guide
• IT Technician Resume Example
• Network Administrator Resume Sample
• Programmer Resume
• Scrum Master Resume Guide
• SQL Developer Resume Example

Data Analyst Resume Examples

Let’s start by showing you 10 great resume samples for data analysis jobs:

Example #1 - Data Analyst Resume

Data Analyst

Phone: +1-299-456-7878

Email: [email protected]

LinkedIn: linkedin.com/in/peterwebb

Strategically-minded data analyst with 7+ years of experience and a strong background in statistical methods. Eager to assist Emtec in the design and development of new business solutions. In previous roles, developed statistical models that boosted sales by 20% and reduced data processing times by up to 95%.

January 2019–Current

mPyre, Los Angeles, CA

• Developed test cases and SQL test scripts based on detail data, functional design, and ETL specifications.
• Led a data cleansing initiative, reducing errors by 15% and enhancing overall data quality, leading to more accurate business insights.
• Developed and built a statistical analysis model on large Aster data sets that boosted online sales by up to 20% per product.
• Improved the existing reporting dashboards and the functionality of planning tools, reducing data processing time by 95%.

Data Analyst & Reporting Specialist Intern

November 2017–January 2019

Sony Interactive Entertainment PlayStation, San Diego, CA

• Employed IT business functions, processes, templates, and tools to assist in delivering services to World Wide Studios (WWS).
• Enhanced system to manage IT-related data and reports. Designed and implemented interactive dashboards, providing real-time monitoring of key performance indicators (KPIs), leading to a 10% improvement in data-driven decision-making.
• Produced and distributed IT reports assisting in service management (ROI, demand plans, capacity reports, service delivery, change and release management, new service introduction, and satisfaction surveys).

March 2013 – July 2017

UCLA, Los Angeles

Bachelor of Science (BS), Statistics

Relevant coursework:

• Mathematical Statistics, Linear Models, Data Analysis Regression, Computational Statistics with R, Monte Carlo Methods
• Problem-solving
• Adaptability
• Time management
• Written and Oral communication
• Use-case analysis
• Data modeling
• SQL/MySQL/Postgres

Certifications

• Cloudera CCA Data Analyst, Cloudera, December 2019
• Data Scientist Associate v2 (DECA-DS), DELL, August 2018
• Spanish, Full Professional Proficiency
• German, Professional Working Proficiency

Example #2 - Entry Level Data Analyst Resume

Junior Data Analyst

Detail-oriented and analytical recent graduate with a Bachelor's in Data Science and hands-on experience gained during a comprehensive internship program. Adept at utilizing statistical techniques and data visualization tools to extract meaningful insights. Seeking an entry-level data analyst position at Emtec. Eager to contribute to data-driven decision-making processes and further enhance data analysis and interpretation skills.

Data Analyst Intern

January 2023–Current

Cyber-Run, Los Angeles, CA

• Conducted comprehensive data cleaning and validation processes, resulting in a 20% improvement in data accuracy for a project during the internship.
• Collaborated with the analytics team to create interactive dashboards, enhancing data visualization and improving team efficiency by 15%.
• Assisted in analyzing customer behavior data, identifying key trends, and contributing to a 10% increase in customer engagement.
• Supported the development of predictive models, resulting in a 15% improvement in forecasting accuracy for sales projections.
• Supported the automation of data processing tasks, resulting in a 30% increase in operational efficiency during the internship period.

March 2019 – August 2023

• Relevant coursework: Mathematical Statistics, Linear Models, Data Analysis Regression, Computational Statistics with R, Monte Carlo Methods.
• Projects: “New data forecasting models using machine learning principles,” presented at the National Statistics Conference in April 2023.
• Memberships: Active member of the statistics and programming clubs.
• Data analysis
• Python & R
• Data visualization
• Critical thinking
• Database management
• Communication skills
• Predictive Modeling for Financial Markets - Developed a predictive model for stock prices using historical financial data.
• Healthcare Analytics - Conducted a comprehensive healthcare data analysis focusing on patient outcomes, treatment effectiveness, and resource utilization.
• Social Media Sentiment Analysis - Engaged in sentiment analysis of social media data to understand public opinions and reactions. Applied statistical methods to analyze large datasets from platforms like Twitter or Facebook, extracting valuable insights about trends, sentiment shifts, and user preferences.

Example #3 - Data Analyst Intern Resume

Results-driven and efficient statistics student with a strong foundation in statistical methods and data analysis, eager to contribute to a dynamic internship program at Emtec. Motivated to enhance skills in data manipulation, visualization, and interpretation while actively contributing to meaningful projects that drive informed decision-making.

Expected graduation - June 2024

• Relevant coursework: Mathematical Statistics, Linear Models, Data Analysis Regression, Computational Statistics with R, Monte Carlo Methods
• Projects: “New data forecasting models using machine learning principles,” presented at the National Statistics Conference in April 2023
• Memberships: Active member of the statistics and programming clubs
• Cloudera CCA Data Analyst, Cloudera, December 2023
• Data Scientist Associate v2 (DECA-DS), DELL, August 2022

Example #4 - Senior Data Analyst Resume

Senior Data Analyst

Driven data analyst with 8+ years of experience and a strong background in anomaly detection. Eager to assist Emtec in optimizing data processing efficiency. In previous roles, led a cross-functional team in developing a predictive analytics tool, resulting in a 15% increase in sales. Established and managed a comprehensive data quality assurance program, reducing errors by 30%.

Ingenium, Los Angeles, CA

• Conducted in-depth market analysis, contributing to a successful product launch that generated $2 million in revenue.
• Developed and implemented a data-driven customer segmentation strategy, resulting in a 20% improvement in targeted marketing campaigns.
• Managed and mentored a team of junior analysts, fostering skill development and achieving project milestones.

Data Analyst & Reporting Specialist

November 2015–January 2019

Innovatio Group, San Diego, CA

• Identified and resolved data discrepancies, leading to a 25% improvement in report accuracy.
• Implemented machine learning algorithms for anomaly detection, reducing fraudulent transactions by 15%.
• Spearheaded the migration of data storage systems, reducing data retrieval time by 40%.

Graduated 2014

• Statistical modeling
• Predictive analytics
• Data quality assurance
• Market analysis
• Customer segmentation
• Data storage systems
• Fraud detection
• Team management
• Cloudera CCA Data Analyst, Cloudera, December 2017
• Data Scientist Associate v2 (DECA-DS), DELL, August 2015

Example #5 - Financial Data Analyst Resume

Financial Data Analyst

Efficient financial data analyst with 5+ years of experience and expertise in statistical methods. Eager to contribute analytical skills and insights to support Emtec's financial strategies. Analyzed investment portfolios, leading to strategic adjustments that improved overall performance, achieving a 12% return on investment. Designed and implemented an anomaly detection system, successfully preventing fraudulent activities and saving the company $500,000 in potential losses.

Wallet Group, Los Angeles, CA

• Designed and implemented an anomaly detection system, successfully preventing fraudulent activities and saving the company $500,000 in potential losses.
• Identified and implemented optimization strategies in financial data processing, leading to a 25% reduction in operational costs.
• Streamlined financial reporting processes, resulting in a 30% reduction in report generation time and improving the accuracy of financial data.
• Developed and executed a risk assessment model, reducing financial exposure by 20% and enhancing the overall risk management strategy.

Junior Financial Data Analyst

Inter Finance, San Diego, CA

• Implemented a predictive sales model that contributed to a 15% increase in quarterly revenue, exceeding the company's financial targets.
• Ensured regulatory compliance by implementing data governance practices, resulting in a 100% adherence to financial regulations and standards.
• Improved financial forecasting accuracy by incorporating machine learning algorithms, resulting in a 98% alignment between forecasted and actual financial outcomes.
• Financial reporting
• Forecasting and Budgeting
• Machine learning

Example #6 - Marketing Data Analyst Resume

Marketing Data Analyst

Results-driven marketing data analyst with 7+ years of experience. Eager to contribute analytical skills and insights to support Emtec's growth. Improved website conversion rates by 15% through data-driven insights, leading to increased customer engagement and sales. Developed and implemented a customer segmentation strategy, resulting in a 20% boost in targeted marketing effectiveness.

Senior Marketing Data Analyst

K&M Inc., Los Angeles, CA

• Optimized marketing campaigns, achieving a 25% increase in return on investment (ROI) through precise targeting and data analysis.
• Utilized predictive analytics models to forecast customer behavior, contributing to a 30% reduction in customer churn.
• Conducted A/B testing on email marketing campaigns, resulting in a 10% lift in click-through rates and higher campaign success.
• Analyzed market trends and competitor data to guide marketing strategies, leading to a 15% growth in market share.

Settler, San Diego, CA

• Implemented data-driven strategies to enhance social media engagement, achieving a 40% increase in follower interactions.
• Improved lead generation processes, resulting in a 20% increase in qualified leads and a more streamlined sales funnel.
• Analyzed content performance metrics, contributing to a 25% improvement in content marketing effectiveness and audience engagement.

March 2011 – July 2015UCLA, Los Angeles

• Market Share growth
• Lead generation
• Google Analytics
• Multi-channel attribution

Associations

• Digital Analytics Association (DAA)—Member
• Kaggle—Active member since 2012

Example #7 - Operations Data Analyst Resume

Operations Data Analyst

Analytical operations data analyst with over 3 years of experience optimizing business processes and driving operational efficiency through insightful data analysis. Eager to contribute analytical skills and insights to support Emtec's growth. Implemented a data-driven inventory management system, reducing excess stock levels by 20% and minimizing holding costs. Developed and maintained real-time dashboards for monitoring supply chain performance, leading to a 15% improvement in on-time delivery.

January 2021–Current

Intermo, Los Angeles, CA

• Conducted root cause analysis on operational inefficiencies, identifying and eliminating a bottleneck, increasing production output by 25%.
• Automated data extraction processes, reducing manual workload by 30% and improving data accuracy.
• Enhanced data quality by implementing data validation checks, resulting in a 25% reduction in data errors.
• Collaborated with cross-functional teams to streamline order processing workflows, reducing order fulfillment time by 20%.

November 2020–January 2021

SASuga, San Diego, CA

• Implemented predictive analytics models to forecast demand, optimizing inventory levels and reducing stockouts by 15%.
• Led a process improvement initiative, resulting in a 30% reduction in customer complaints related to order discrepancies.
• Developed a data-driven performance measurement framework, resulting in a 20% improvement in the accuracy of key operational metrics.

March 2016 – July 2020

• Dashboard development
• SQL/Python/R
• Root cause analysis
• Cloudera CCA Data Analyst, Cloudera, December 2018
• Data Scientist Associate v2 (DECA-DS), DELL, August 2016

Example #8 - Fraud Data Analyst Resume

Fraud Data Analyst

Diligent fraud data analyst with over 4 years of experience detecting and preventing fraudulent activities. Looking to contribute analytical skills and insights to Emtec. Implemented a machine learning-based fraud detection system, reducing false positives by 25% and identifying fraudulent transactions with 98% accuracy. Developed and maintained comprehensive fraud risk assessments, providing actionable insights to senior management for strategic decision-making.

Zilla Group, Los Angeles, CA

• Conducted in-depth investigations into suspicious activities, resulting in identifying and preventing a fraud scheme that saved the company $500,000 in potential losses.
• Implemented automated fraud risk assessment tools, reducing manual workload by 40% and allowing for quicker response times to emerging fraud threats.
• Conducted regular reviews of transactional data, identifying trends and patterns that led to adjusting fraud detection parameters, resulting in a 20% increase in detection accuracy.
• Implemented a machine learning-based fraud detection system, reducing false positives by 25% and identifying fraudulent transactions with 98% accuracy.

Junior Fraud Data Analyst

Bit Tracker, San Diego, CA

• Created and implemented a customer authentication system, reducing instances of account takeovers and unauthorized access by 15%.
• Conducted regular reviews of fraud prevention policies and procedures, ensuring compliance with industry standards and implementing updates that reduced vulnerabilities to emerging fraud tactics.
• Developed and implemented anomaly detection algorithms, reducing the time to detect potential fraud events from weeks to real-time, enhancing the company's ability to respond swiftly.
• Fraud investigation
• Risk assessment
• Fraud prevention strategies
• Risk mitigation
• Blockchain technologies
• Conferences
• TDWI Leadership Summit, Panelist—July 2023
• ACM International Web Search and Data Mining, Panelist—August 2022

Example #9 - Business Intelligence (BI) Data Analyst Resume

Senior Business Intelligence Data Analyst

Efficient business intelligence data analyst with 10+ years of experience. Eager to contribute analytical skills and business acumen to Emtec. Developed and implemented data models, resulting in a 25% improvement in data accuracy and a 30% reduction in reporting errors. Enhanced data visualization techniques, leading to a 20% increase in the comprehensibility of business intelligence reports for non-technical stakeholders.

January 2017–Current

Macrosoft, Los Angeles, CA

• Implemented a streamlined ETL process, reducing data processing time by 40% and improving overall efficiency.
• Conducted in-depth market analysis using business intelligence tools, contributing to a 15% increase in market share within six months.
• Collaborated on a cross-functional team to identify cost-saving opportunities, resulting in a 15% reduction in operational expenses.
• Established key performance indicators (KPIs) for business operations, contributing to a 10% improvement in overall organizational performance.

Business Intelligence Data Analyst

November 2012–January 2017

3B Inc., San Diego, CA

• Executed A/B testing methodologies, leading to a 25% enhancement in the effectiveness of marketing campaigns.
• Implemented predictive analytics models, resulting in a 20% improvement in forecasting accuracy for sales and demand.
• Conducted root cause analysis on customer churn, implementing strategic interventions that reduced churn by 15%.
• Optimized database structures, improving query performance and reducing query execution times by 30%.

Graduated in 2012

Master of Science (MS), Statistics

• Business intelligence tools (Tableau, Power BI)
• ETL processes
• Reporting and dashboards
• Dimensional modeling
• Data mining
• Publications
• "Transformative Trends: Leveraging Business Intelligence for Sustainable Growth," Better Business Journal—July 2023
• "Data-Driven Decision Making: The Role of Business Intelligence in Modern Enterprises," The Hustler—November 2022

Example #10 - Social Media Data Analyst Resume

Senior Social Media Data Analyst

Creative social media data analyst with 8+ years of experience. Looking to improve social media engagement and enhance brand awareness at Emtec. Increased social media engagement by 40% through strategic analysis and optimization of content. Improved click-through rates by 25% by identifying and implementing effective posting times.

January 2018–Current

Content Map, Los Angeles, CA

• Enhanced brand awareness by 30% through data-driven recommendations for content creation.
• Developed and maintained comprehensive social media dashboards, resulting in a 20% reduction in reporting time.
• Identified trends and patterns in user behavior, contributing to a 15% increase in audience reach.
• Implemented A/B testing methodologies, leading to a 20% improvement in ad performance.

November 2014–January 2018

MRV Group, San Diego, CA

• Analyzed sentiment data, resulting in a 25% increase in positive brand mentions.
• Collaborated with marketing teams to align social media strategies with overall business goals, resulting in a 15% growth in lead generation.
• Conducted competitor analysis, providing insights that led to a 10% gain in market share.
• Utilized advanced analytics to optimize paid social campaigns, achieving a 30% reduction in cost per click.

Graduated in 2011

• Social media analytics
• Social media monitoring
• A/B testing
• Competitor analysis
• Audience segmentation
• Influencer marketing analytics
• "Harnessing Data Insights for Effective Social Media Campaigns: A Comprehensive Guide," The Socialite—July 2023
• "The Impact of Advanced Analytics on Social Media Marketing: Case Studies and Best Practices," Social Media Monthly—November 2022

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How to Write a Data Analyst Resume

Data analysts interpret and analyze datasets, providing insights and supporting decision-making processes. They work with raw data, utilizing statistical methods, programming languages, and analytical tools to extract meaningful patterns, trends, and correlations.

Here’s how to write a resume for data analyst jobs that checks all the boxes:

1. Prepare a Flawless Data Analyst Resume Format

To avoid getting instantly purged from the database of candidates, you need to utilize the best resume formatting . That’s because if the recruiter won’t be able to locate everything they want to see quickly, they just won’t bother with your application.

Here’s the framework for the perfect-looking resume :

• Choose the reverse-chronological resume format for your data analyst resume. This way, you’ll prioritize your experience and key achievements.
• Stick to good resume fonts . Aim for the range between 10 to 14pt. Write simple headings and avoid clutter.
• Set your resume margins to 1 inch on all sides and make sure to leave ample spacing in between paragraphs. White space increases readability .
• Try to make your resume length fit into one page. That’s unless your experience is comparable to a big data set. In that case, a two-page resume will be fine.
• Start with a resume profile , then the data analyst job description, and follow it with the education section. If you’re writing a resume without experience , have your education section replace your work history.
• Put your key data analyst skills in a separate section, and include some bonus resume sections to differentiate yourself from other applicants.

Expert Hint: Unless noted otherwise, always save your data analyst resume as a PDF rather than a DOC file . Its formatting will stay untouched, and the ATS will read it without a problem.

2. Start With an Enticing Resume Profile

A data analyst resume summary is like presenting the key findings of your analysis. It’s a quick way to show the recruiter the value you will bring to their company. Here’s what you need for an effective resume summary:

• A power adjective
• Years of experience
• What you can offer and how it will help
• 1-2 of your biggest achievements

See the examples below:

Data Analyst Resume Summary—Sample

Strategically-minded data analyst with 5+ years of experience and a strong background in statistical methods. Eager to assist Emtec in the design and development of new business solutions. In previous roles developed statistical models that boosted sales by 20% and reduced data processing times by up to 95%.

An experienced data analyst wishing to join your company. Great with statistical models and willing to expand his horizons.

But you can’t get experience without having a job or an internship in the first place. So, what can you do if your spreadsheet of professional achievements is blank?

You can use your education, certifications, projects, and other activities to form a fantastic data analyst resume objective . It takes the focus away from your work experience, showcasing your other achievements and motivations instead.

Entry-Level Data Analyst Resume Objective—Sample

Strategically-minded junior data analyst with a BS in statistics from UCLA (GPA 3.9) and a strong background in mathematical statistics. Eager to support Emtec in developing new business solutions. Conducted a comprehensive healthcare data analysis project focusing on patient outcomes, treatment effectiveness, and resource utilization.

A fresh college graduate who would love to join your company to deepen my understanding of and gain experience with data analysis.

Writing a data analyst resume profile can be tough. Write the rest of your resume first to make it easier on yourself. Once you have all of your achievements and qualifications laid out in front of you, cherry-picking the best ones to showcase will be a breeze.

3. Write an Impressive Data Analyst Job Description

You know all too well that most job openings require previous work experience. Follow these three steps to write the best data analyst resume job description that puts you leagues above the competition:

• Analyze the job posting.
• Extract the data analyst skills and duties the employer seeks.
• Present your data analyst experience in the form of strong bullet points , targeting all the necessary resume keywords .

This is what your data analyst resume job description may look like:

Data Analyst Job Description for Resume—Example

• Gathered, organized, and cleaned large datasets to ensure data accuracy and reliability for analysis.
• Applied statistical and analytical methods to extract meaningful patterns and trends from complex datasets.
• Created clear and informative visual representations, such as charts and graphs, to communicate insights effectively.
• Stayed updated on industry trends, emerging technologies, and new analytical methods.

There are two clear distinctions between these examples. The first shows quantified professional achievements , which help visualize this candidate's impact on their previous company. As a data analyst, you know numbers' power too well.

The second example also showcases job responsibilities rather than achievements. This only shows that the applicant did their job. But, the recruiter won’t even know if this candidate did it well.

Expert Hint: Before reaching the hiring manager, your resume will be screened by the Applicant Tracking System (ATS). To ensure you pass it, use an ATS resume template .

4. Showcase Relevant Data Analyst Skills

If your data analyst resume job description is done right, you’ve already included the most important skills the employer is after in your achievements. But, there is more you can add. Look at the job posting again to see if the data analyst skills the employer requires are mentioned by name. Then—

Make a separate key skills section on your resume . Fill it with the hard skills the employer wants to see. Also, don’t neglect your soft skills . There are studies showing that soft skills are critical for success in the 21st century .

Aim for up to 10 skills on your data analyst resume. Here are some of the more popular ones:

Data Analyst Resume Skills—Sample

• Data Cleaning
• Data Modeling
• Statistical & Predictive Analysis
• Machine Learning
• Data Visualization Tools (e.g., Tableau)
• Big Data Technologies (e.g., Hadoop)
• Python or R
• Analytical Thinking
• Problem-Solving
• Attention to Detail
• Critical Thinking
• Oral & Written Communication
• Team Collaboration
• Time Management
• Business Acumen

5. Present Your Data Analyst Education Correctly

To land the best data analyst job, the education section of your resume must deliver. Especially when applying for entry-level data analyst jobs.

Generally, an entry-level resume for data analytics jobs will have a more detailed education section. As you become more experienced, the focus shifts to your professional experience. To expand on your education, list the relevant courses you took and show off your GPA if it’s higher than 3.5. Consider adding relevant extracurricular activities or membership in student societies.

Entry-Level Data Analyst Resume Example—Education

6. finish strong with bonus sections.

Maximize the impact of your resume for a data analyst. A strategic mash-up of your unique knowledge, extra skills, certifications, and interests is the way to go.

Pick 1–3 from the following sections to add some flare to your data analyst resume:

• Associations & Memberships
• Hobbies & Interests
• Known Languages
• Known Software
• Other Activities

When choosing what additional information to include on your resume , focus on relevance. You’re writing a data analyst resume, so think about whether what you want to include adds value to your application.

Data Analyst Resume Sample—Bonus Sections

• Cyberpunk literature
• Sound engineering
• Certified Grillmaster (CGM) - International Association of Culinary Experts (IACE), March 2023
• Master Baker Certification (MBC) - World Pastry and Baking Guild (WPBG), June 2022

Expert Hint: Your chances of landing a job may double if you know how to write a cover letter for a data analyst. Less than 50% of applicants attach one but more than 50% of the recruiters expect to see it.

Double your impact with a matching resume and cover letter combo. Use our cover letter generator and make your application documents pop out.

CREATE YOUR COVER LETTER NOW

Want to try a different look? There's 21 more. A single click will give your document a total makeover. Pick a cover letter template here .

This is how to make a data analyst resume:

• Pick the right data analyst resume template. A senior data analyst resume needs a larger job description section than an entry-level data analyst resume.
• Use the best data analyst resume format. Make it one page long, list only relevant information, save it as a PDF, and use white space well.
• Tailor it to a job offer. Your data analyst skills and experience have to mirror the employer’s requirements.
• Make the most of your education. Pay attention to this section of your resume, especially if you’re making a data analyst resume for freshers.
• Enhance it with extras. Show you’re a fully-rounded candidate by adding some extras. Certifications, conferences, interests, and language knowledge all add to your professional value.

Do you have useful advice on writing resumes for data analyst positions? Or maybe you have some questions about writing a data analyst resume? I’d love to hear from you. Leave your comment below.

About ResumeLab’s Editorial Process

At ResumeLab, quality is at the crux of our values, supporting our commitment to delivering top-notch career resources. The editorial team of career experts carefully reviews every article in accordance with editorial guidelines , ensuring the high quality and reliability of our content. We actively conduct original research, shedding light on the job market's intricacies and earning recognition from numerous influential news outlets . Our dedication to delivering expert career advice attracts millions of readers to our blog each year.

Experienced in the education management industry, Maciej shares his knowledge for every step of your job hunt, from landing an internship to moving to an executive position. Maciej has helped job candidates at all stages of their career paths, from interns to directors to C-suite members, to thrive in their job. His mission is to help you find the right opportunity and create a job application that gets you the career you deserve.

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Data Analyst Resume - Guide & Examples for 2024

Our world is swamped with data.

But we don’t have enough skilled personnel to help us make sense of it all. 

If you want to be a data analyst, then that’s good news for you

Because it’s one of the most in-demand jobs around today.

The World Economic Forum’s 2018 Future of Jobs Report highlighted a growing need for data analysts and predicted these roles – and those of scientists, app and software developers – will experience increasing demand up to 2024.

But what do data analysts do?

• Providing expertise in data storage structures, data mining, and data cleansing
• Translating numbers and facts to inform strategic business decisions
• Analyzing sales figures, market research, logistics, or transport data
• Creating and following processes to keep data confidential
• Coming up with solutions to costly business problems

Knowing what’s likely to pop up in job advertisements for data analysts doesn’t change the fact that writing a resume can be a challenge. And that’s where this guide comes in. 

We’re going to run you through: 

• How to present your contact information
• How to write a strong resume summary
• The 35 must-include skills for data analysts 
• Highlighting your achievements as a data analyst

Let’s look at Lilibeth Andrada’s Novorésumé-created example throughout this guide. 

Data Analyst Resume Sample  

Like the look of this? Create your own modern and professional data analyst resume in minutes with these easy-to-update templates here.

Interested in a different job position? We’ve got more resume examples - just click on one below:

• Data Entry Resume
• Data Scientist Resume
• Artificial Intelligence Engineer Resume
• Web Developer Resume
• Engineering Resume
• Computer Science Resume
• Software Engineer Resume
• Java Developer Resume

1. How to Present Your Contact Information

Resumes used to include someone’s full address, but that’s no longer the case. 

It’s fine to include just your city and region instead of your full address.  

Look at what Lilibeth does. 

She gives potential employers her email address and phone number and includes her LinkedIn and GitHub profiles. 

This is a good approach because the LinkedIn profile will allow any non-engineering hiring managers to get a sense of her broader skills and career history, while the GitHub profile will showcase her technical expertise and any past projects or repositories she has worked on.

2. How to Write a Great Data Analyst Resume Summary

Let’s talk about the key content of your resume now. 

And again, let’s use Lilibeth’s resume as we do this. 

Her resume summary is short, positive, and clear. Resume summaries are a key part of your entire resume – because they’re often the first thing hiring managers read.

“Lilibeth’s elevator pitch explains how she is driven, team-oriented and responsible – key character traits in a role where you’ll need to work well with people and ensure that data is gathered and used honestly and accurately.”

Think of your own resume summary as an “elevator pitch” about who you are and what you do. 

Here’s a good and bad example to help you out.

• Thorough and meticulous Data Analyst passionate about helping businesses succeed. Former small business owner and recipient of an MBA. Possessing strong technical skills rooted in substantial training as an engineer.
• I am an enthusiastic Data Analyst with a long history of being interested in math and science. I was the accountant for a friend’s lemonade stand in the third grade. Since then, I’ve gone on to do fundraising for the high school drama club and got an internship at a company owned by my mother’s friend.

3. The 35 Must-include Skills for Data Analysts

Character and past work experience count – but your skills are just as important.  

Since Data Analysis is a highly technical job, be sure to include technical skills , and consider a more general skills section . Do you have any of the skills below? And if you do, which ones are most relevant for the job you’re applying for? 

• Math (statistics and probability)
• Logic and analysis
• Relational databases (MySQL)
• Problem-solving and troubleshooting
• Pattern and trend identification
• Data mining and data QA
• Database design and management
• SharePoint and advanced Microsoft Excel functions
• Tableau and Qlik
• Business intelligence (BI)
• Programming languages
• Risk management
• System administration
• Quantitative methods
• Data warehousing
• Regression analysis
• Data science research methods
• Experimental design & analysis
• Tech support
• Survey creation
• Communication and public speaking
• Clear writing and report writing
• Critical thinking
• Attention to detail
• Risk assessment
• Training and instructing
• Reducing jargon
• Organization
• Teamwork & collaboration
• Project management
• Decision-making
• Time management

4. Highlighting Your Achievements as a Data Analyst

What about your Work Experience? 

Most people list their responsibilities and duties here or even look up old job ads to copy and paste the information. Don’t do that. Instead, flip the work experience section on its head and write about what you’ve achieved – using specific outcomes and results. 

• Completed market analysis, resulting in a 21% increase in sales.
• Used SPSS and MiniTab software to track and analyze data.
• Conducted research using focus groups on 3 different products and increased sales by 11% due to the findings.
• Spearheaded data flow improvement.
• Developed Key Performance Indicators to monitor sales and decreased costs by 17%.

So you should avoid explaining work experience in past roles like this:

• Did market analysis.
• Used computer programs to deal with data.
• Focus groups.

Lilibeth emphasizes her achievements by explaining how her high standards of data adherence at Dell led to her receiving an Employee of the Year award twice in a row. Think of your big contributions in past jobs as an individual contributor or team member.

Are you ready to create your data analyst resume now? 

To prepare for your interview, you can check the following interview questions !

Suggested Reading:

• Resume Formats Guide: How to Pick the Best One
• Best Hobbies & Interests to Put on a Resume
• The Future of Jobs: Fastest Growing Industries [+Infographic]

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Table of Contents

18+ Data analyst resume examples (Free Edit & Guide for 2024)

The number of data analysts is expected to grow by 25 percent between 2020 to 2030, coupled with the increase in pay transparency laws making this the ideal time to get a data analyst job.

Building a resume and data analyst cover letter is the hardest part of this process. To inspire you, we chose 20 top data analyst resume samples for different career stages.

Our data analyst resume examples are proven to help you put your best foot forward to get the job you’ve always wanted in 2024.

Data analyst resume

Edit and download this example of data analyst resume   created using the Instaresume's OCEAN · TWO COLUMN CV TEMPLATE WITH SIDE BAR RIGHT

How this resume gets noticed

This Data Analyst resume stands out with its modern, clean design and strategic use of a colorful side column for quick navigation.

The Professional Summary immediately highlights key skills like project management, Power BI, and Azure, ensuring it captures the attention of recruiters and ATS software. Bullet points in the Employment History focus on quantifiable achievements, such as improving task completion by 10%, making the candidate’s impact clear.

The Skills section balances technical and soft skills, tailored perfectly for a data analyst role, ensuring it resonates with both ATS and hiring managers.

Data analyst resume guide

In 2024, the demand for skilled data analysts continues to surge. According to the Bureau of Labor Statistics , employment in data-related professions is expected to grow by 25% over the next decade. With businesses increasingly relying on data-driven decision-making, having a well-crafted Data Analyst resume can be your key to unlocking career opportunities.

Whether you’re a beginner looking to break into the field or an experienced analyst aiming to advance, tailoring your resume for the latest industry expectations is crucial. In this guide, we’ll explore everything you need to know to create a standout Data Analyst resume, from essential skills to examples that will get you noticed in 2024.

Key elements of a data analyst resume

Let’s break down the main sections that make up an effective Data Analyst resume:

To craft a compelling data analyst resume, you need to strike a balance between highlighting technical expertise and showcasing real-world problem-solving skills. Whether you're aiming for an entry-level role or have some experience, a resume that tells a story of your data journey can make a big difference. Here are the key elements that every data analyst resume should feature:

1. Professional summary

A concise and tailored data analyst summary is your first opportunity to grab attention. This section should encapsulate your core strengths, experience, and what value you bring to the table.

“Results-driven data analyst with 2+ years of experience in leveraging data analytics tools and skills to extract insights, optimize operations, and drive business growth. Adept at transforming raw data into actionable strategies through the use of SQL, Python, and advanced Excel techniques. Looking to bring a data-driven mindset to solve real-world problems in a dynamic environment.”

This summary should highlight the specific industries or domains you’ve worked in, and mention the tools you’re comfortable with.

2. Key skills

When listing skills, it's essential to use bullet points to make them easy to read and emphasize your proficiency. Here's how you can incorporate data analyst skills bullet points effectively:

• Proficiency in data analytics tools such as SQL, Excel, Tableau, and Python
• Expertise in data visualization to convey clear and actionable insights
• Strong ability to perform statistical analysis and predictive modeling
• Data cleaning, wrangling, and transformation to ensure high-quality datasets
• Knowledge of A/B testing, hypothesis testing, and regression analysis
• Ability to collaborate with cross-functional teams to deliver data-driven solutions
• Strong attention to detail and problem-solving skills

Be sure to tailor these skills to the job description and highlight any specific tools or methodologies they mention.

3. Experience

Your experience section should focus on the projects or roles where you applied your skills to generate real business results. The most effective resumes don’t just list responsibilities but also show outcomes. This is especially important when writing for data analyst resume examples.

Data Analyst Intern Company XYZ | May 2022 – August 2022

• Analyzed customer purchase data using SQL and Excel, uncovering trends that led to a 10% increase in customer retention.
• Created dashboards in Tableau to visualize KPIs, resulting in a 15% improvement in sales forecasting accuracy.
• Collaborated with marketing and sales teams to optimize strategies based on data insights, driving a 20% increase in campaign ROI.

If you're an entry-level candidate, even academic projects or personal initiatives should be featured prominently. It's important to show projects on your data analyst resume to demonstrate how you've applied your knowledge.

Data Analyst Capstone Project University ABC | January 2022 – April 2022

• Led a project analyzing New York City traffic data, using Python and R to predict peak congestion periods, which could lead to an estimated 5% reduction in traffic delays.
• Designed a dashboard using Tableau to present findings, making data more accessible to non-technical stakeholders.

4. Education

For those seeking entry-level data analyst jobs, the education section is key. Alongside your degree, mention relevant coursework, certifications, or bootcamps that emphasize your data analysis background.

Bachelor of Science in Data Science University XYZ | September 2018 – May 2022 Relevant Coursework: Data Mining, Machine Learning, Advanced Statistics, Data Visualization

If you've completed online certifications or participated in specialized workshops, include them too. Recruiters often look for continuous learning, especially in rapidly evolving fields like data analytics.

5. Projects and Achievements

Don’t hesitate to create a separate section for your most impactful projects, particularly if they demonstrate a strong use of data analytics tools and skills. This section is where you show projects on your data analyst resume and show how they made a difference.

• Sales Data Dashboard: Created an interactive dashboard using Tableau to visualize monthly sales data, leading to improved reporting efficiency and a 12% sales increase for a client.
• Customer Segmentation Analysis: Leveraged Python and K-means clustering to segment customer data, identifying key customer groups that led to targeted marketing efforts and a 15% increase in engagement.

6. Certifications and Tools

Under a "Certifications" or "Technical Skills" section, list any relevant certifications, like Google Data Analytics, or courses completed through platforms like Coursera or Udemy. Additionally, give a clear list of data analytics tools and skills on your resume.

• Python (Pandas, NumPy, Matplotlib)
• SQL (MySQL, PostgreSQL)
• Tableau and Power BI
• R Programming
• Excel (Advanced Functions, Pivot Tables)
• Machine Learning Basics (Scikit-learn)
• Google Analytics

These certifications and skills prove to recruiters that you are continuously developing and staying up to date with industry trends.

7. Keywords and Optimization

To ensure your resume gets noticed by both recruiters and applicant tracking systems (ATS), use keywords like data analyst resume, entry-level data analyst jobs resume, and data analyst resume examples strategically throughout your resume. Mentioning specific tools and frameworks such as SQL, Python, Tableau, and Excel will also make your resume more visible during searches.

Final Tips:

Keep your resume concise, ideally one page for entry-level positions.

Use quantifiable achievements wherever possible (percentages, dollars saved, time reduced, etc.).

Tailor your resume for each job by tweaking your summary, skills, and project sections to align with the specific job description

Common mistakes to avoid in your data analyst resume

• Focusing too much on technical skills without highlighting communication abilities.
• Listing responsibilities instead of quantifying achievements.
• Submitting a generic resume without tailoring it to the job description.
• Overloading the skills section with too many irrelevant tools.
• Neglecting to showcase experience with data governance and compliance.
• Failing to provide context for how data insights impacted business outcomes.
• Using overly complex jargon that non-technical readers may not understand.

Data analyst resume examples

Data analyst intern resume.

Edit and download this example of a data analyst intern resume resume   created using the Instaresume's FOREST · TWO COLUMN RESUME TEMPLATE WITH SIDE BAR LEFT

Consider using your lack of paid work experience as an opportunity to highlight on your resume for a data analyst intern personal initiatives where you showcased abilities pertinent to the role you're looking for.

Entry Level Data Analyst Resume

Edit and download this example of a entry level data analyst resume   created using the Instaresume's BREEZE · MINIMALISTIC RESUME TEMPLATE

You have choices for presenting your skill set on your resume for an entry-level data analyst as a future professional.

The first is to create well-designed projects that use code to solve actual problems in order to demonstrate proficiency in programming, testing, modeling, and data visualization. Here, innovation isn't as important as developing something dynamic and one-of-a-kind that is difficult to duplicate with a few Google searches and a YouTube instructional. Putting time and effort into internships is the second choice. They're an excellent approach for someone who wants to get a degree to obtain real-world experience. Before beginning, some internships require a degree to be obtained. You should do some study on markets and locales, even if this is becoming less typical because of online coding trade schools.

Junior Data Analyst Resume

Edit and download this example of a junior level data analyst resume  created using the Instaresume's DAY · CREATIVE CV TEMPLATE

Your career background may appear a little sparse when you first draft your junior data analyst resume, but that's okay!

You might increase your credibility and create interest by bringing up a noteworthy project you may have worked on.

Be as explicit as you can, even if the project wasn't a part of a prior work, by providing metrics or instances to demonstrate your influence! Make sure that all of your accomplishments, including volunteer work, classes, internships, and classes, are directly related to the position you are applying for. A career objective might assist add more substance to your resume by outlining your qualifications.

Senior Data Analyst Resume

Edit and download this example of a senior data analyst resume   created using the Instaresume's SUN · SIMPLE RESUME TEMPLATE

One no longer needs a clear career aim as a senior data analyst. The job history, superior KPIs, and leadership should be highlighted prominently on your senior data analyst resume.

Emphasize a long career spent working as a data analyst with measurable data from many occupations, jobs, leadership, and mentorship.

Many skills come with experience, so don't include them all in the skills part of your resume. Add only the most pertinent ones, such as Excel, Tableau, SQL, Python, and further modeling, data visualization, and product analytics keywords.

HR Data Analyst Resume

Edit and download this example of a HR data analyst resume  created using the Instaresume's FOREST · TWO COLUMN RESUME TEMPLATE WITH SIDE BAR LEFT

The resume clearly combines HR and data analytics skills, making Emily a great fit for HR Data Analyst roles where both domains intersect.

Specific HRIS, analytics, and data visualization tools are highlighted, which are essential for an HR Data Analyst.

Professional certifications like PHR and People Analytics Certification demonstrate continuous learning and commitment to the field.

Power BI Data Analyst Resume

Edit and download this example of a power bi data analyst resume created using the Instaresume's CLOUD · ACADEMIC CV TEMPLATE

The resume is customized for a Power BI Data Analyst position, emphasizing Kevin’s experience with Power BI, DAX, and SQL.

Listing specific technical skills (Power BI, DAX, SQL) helps potential employers quickly identify his qualifications.

Extra-curricular involvement such as volunteering and speaking at conferences highlights leadership abilities and continuous engagement with the data community.

Excel Data Analyst Resume

Edit and download this example of a excel data analyst resume created using the Instaresume's TREE · CREATIVE TWO COLUMN RESUME TEMPLATE

The resume emphasizes advanced Excel skills, including pivot tables, VBA, and data visualization, which are critical for an Excel Data Analyst.

Specific achievements like reducing manual entry time by 50% and improving revenue by 12% demonstrate Rachel’s ability to add tangible value to her company.

The resume is well-organized, making it easy for recruiters to quickly identify skills, experiences, and qualifications.

Python Data Analyst Resume

Edit and download this example of a python data analyst resume  created using the Instaresume's SUN · SIMPLE RESUME TEMPLATE

The resume heavily emphasizes Python skills, including libraries like Pandas, Matplotlib, and Scikit-learn, which are essential for a Python Data Analyst role.

The inclusion of programming languages, data visualization tools, and machine learning shows a comprehensive technical skill set.

Membership in user groups and mentorship activities demonstrate engagement in the data science community, enhancing his profile as a well-rounded candidate.

Data Quality Analyst Resume

Edit and download this example of a data quality analyst resume created using the Instaresume's NIGHT · BLACK AND WHITE RESUME TEMPLATE

The resume emphasizes Olivia’s expertise in ensuring data accuracy and integrity, which is the key responsibility of a Data Quality Analyst.

Strong proficiency in tools like SQL, Excel, and Python is clearly highlighted, ensuring recruiters know she has the required technical background.

Financial Data Analyst Resume

Edit and download this example of a financial data analyst resume   created using the Instaresume's EVEREST · COMBINED RESUME TEMPLATE

The resume highlights extensive hands-on experience with Power BI, which is crucial for a Power BI Data Analyst. The emphasis on dashboard development and data integration shows expertise in this field.

The resume includes key technical skills such as SQL, DAX, and Power Query, which are essential for a data analyst role.

Relevant certifications and courses show a commitment to staying up-to-date with tools and techniques.

Big Data Analyst Resume

Edit and download this example of a big data analyst resume   created using the Instaresume's OCEAN · TWO COLUMN CV TEMPLATE WITH SIDE BAR RIGHT

The resume demonstrates Michael’s deep knowledge of big data technologies, including Hadoop, Spark, and distributed systems, which are essential for a Big Data Analyst.

The structure highlights both his big data experience and his analytical skills, which are core to this role. The inclusion of relevant tools and programming languages aligns with the job’s requirements.

By including extra-curricular activities, hobbies, and public speaking engagements, the resume shows a well-rounded professional with a passion for both the technical and communicative aspects of his work

Lead Data Analyst Resume

Edit and download this example of a lead data analyst resume created using the Instaresume's FOREST · TWO COLUMN RESUME TEMPLATE WITH SIDE BAR LEFT

This resume emphasizes leadership experience, which is crucial for a Lead Data Analyst role. Michael’s ability to manage teams, mentor others, and lead large projects stands out.

Each job includes specific, quantifiable results (e.g., “20% growth in key business areas” or “15% reduction in churn”), demonstrating Michael’s impact on business outcomes.

Highlighting proficiency in relevant tools like Python, SQL, Tableau, and machine learning demonstrates strong technical expertise.

Business Data Analyst Resume

Edit and download this example of a business data analyst resume created using the Instaresume's FOREST · TWO COLUMN RESUME TEMPLATE WITH SIDE BAR LEFT

The resume highlights Olivia’s ability to use data analysis to support core business functions, making her an ideal fit for a Business Data Analyst role.

Proficiency in SQL, Excel, and Power BI is emphasized, demonstrating her technical capabilities, which are critical for analyzing business data.

Certifications show Olivia’s commitment to expanding her skill set, staying relevant in a constantly evolving field.

Healthcare Data Analyst Resume

Edit and download this example of a healthcare data analyst resume   created using the Instaresume's ICE · CLASSIC RESUME TEMPLATE

The resume showcases Jessica’s direct experience in the healthcare industry, highlighting her ability to work with medical data, EHR systems, and regulatory compliance (e.g., HIPAA).

Specific technical skills such as SQL, Python, and Tableau are crucial for data analysis, while healthcare-specific skills like EHR systems and regulatory compliance show her specialized knowledge.

Relevant certifications like the CHDA and advanced degrees in health informatics solidify her credibility in the healthcare data field.

AWS Data Analyst Resume

Edit and download this example of a AWS data analyst resume created using the Instaresume's SKY · CREATIVE RESUME TEMPLATE

The resume focuses heavily on Emily’s experience with Amazon Web Services, detailing her proficiency with AWS Redshift, S3, Glue, Lambda, and Quick sight, which are key tools for cloud data analysis.

The emphasis on cloud architecture, ETL processes, and data warehousing aligns with the demands of an AWS data analyst role, showcasing her ability to handle complex data environments.

The resume highlights her ability to work across teams, making data more accessible and understandable to business units, which is essential for a data analyst role.

SQL Data Analyst Resume

Edit and download this example of a SQL data analyst resume created using the Instaresume's DAY · CREATIVE CV TEMPLATE

This resume emphasizes Daniel’s extensive experience and skills with SQL, query optimization, and database management, which are essential for a SQL Data Analyst role.

The inclusion of relevant technical skills such as SQL, Power BI, and Python, alongside certifications, shows Daniel’s up-to-date expertise in his field.

The resume effectively blends technical proficiencies with collaborative soft skills, like working with cross-functional teams, which is key in data analysis roles.

Revenue Reporting Data Analyst Resume

Edit and download this example of a revenue reporting data analyst resume   created using the Instaresume's EVEREST · COMBINED RESUME TEMPLATE

The resume clearly outlines Alex’s experience in developing, automating, and improving revenue reports, which is central to the role.

Strong emphasis on the technical tools and skills required for data analysis, such as SQL, Excel, and financial modeling, all of which are essential for a Revenue Reporting Data Analyst.

Mentioning communication, cross-functional collaboration, and stakeholder reporting shows Alex’s ability to communicate complex data to non-technical teams effectively.

Tailor your resume for each job with instaresume

Tailoring your resume for each job is crucial to stand out in today's competitive market. With Instaresume their AI-powered features make customization effortless. You can quickly align your skills and experience with the job description, ensuring your resume resonates with the hiring manager and highlights your most relevant strengths. Whether it's adjusting your keywords or fine-tuning the format, instaresume helps you create a resume that’s uniquely tailored to each position you're applying for also check why you should choose instaresume AI resume builder

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Why choose instaresume

What skills should I include in a data analyst resume? Include essential skills such as data analysis, SQL, Python, Excel, data visualization (Tableau, Power BI), statistical analysis, and knowledge of databases.

What is the best format for a data analyst resume? A reverse-chronological format is most preferred. It highlights your most recent experience and skills, making it easier for hiring managers to review.

How do I write a resume summary for a data analyst? Write a concise summary highlighting your experience, key technical skills (like data analytics tools), and your ability to solve business problems through data insights.

What certifications should a data analyst list on a resume? Certifications like Microsoft Certified: Data Analyst Associate, Google Data Analytics Certificate, and certifications in SQL, Python, or R are valuable.

How do I highlight my technical skills on a data analyst resume? Create a dedicated "Skills" section to list tools and languages like Python, R, SQL, Tableau, and Excel. Additionally, mention these tools in the context of specific job accomplishments.

What experience should a junior data analyst include on their resume? Emphasize internships, coursework, relevant projects, and any data analysis tasks you've undertaken, even if they were in a school or freelance setting.

What are some action verbs to use in a data analyst resume? Use powerful action verbs like "analyzed," "interpreted," "visualized," "automated," "optimized," "extracted," and "forecasted" to describe your achievements.

How do I quantify achievements in a data analyst resume? Include metrics where possible. For example: “Reduced data processing time by 20% through process optimization” or “Increased forecast accuracy by 15% using advanced statistical models.”

Do I need to include a cover letter with my data analyst resume? While not always required, a cover letter is recommended as it allows you to explain your passion for data analysis and align your experience with the company's needs.

Should I include soft skills on a data analyst resume? Yes, mention soft skills like problem-solving, communication, and attention to detail, as these are critical for interpreting data and presenting insights.

What sections should be included in a data analyst resume? Include sections like contact information, resume summary or objective, skills, work experience, education, certifications, and projects.

How can I tailor my data analyst resume for specific jobs? Customize your resume by aligning your skills and experience with the job description. Use relevant keywords from the job posting and focus on the tools or techniques mentioned.

Should I include my GPA on a data analyst resume? Only include your GPA if it's 3.5 or higher, and if you're a recent graduate. For professionals with more experience, focus on your technical skills and work experience.

What is the importance of keywords in a data analyst resume? Keywords help your resume pass through applicant tracking systems (ATS). Include role-specific terms like "data visualization," "SQL queries," "Python scripting," and "machine learning."

What kind of projects should I include in a data analyst resume? Highlight projects that showcase your ability to analyze data, create visualizations, and provide actionable insights. Projects involving real-world data and business outcomes are ideal.

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