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Data Analyst resume example

A data analyst resume rests on two things: the tools you use to query and visualize data (SQL, Python, a BI tool), and a decision your analysis helped change. Plenty of people can pull reports. The ones who get interviews show that the report moved a real number.

What this Data Analyst resume does well

A clear top-to-bottom order that still reads fine as plain text
Simple, familiar section headings that match the evidence you have
A file type that follows the job instructions, tested before you send it
No key detail hidden inside a graphic, icon, or column an ATS might skip
Bullets that lead with a result — using sample numbers you should replace
Contact details kept in the main body, not tucked in a header or footer

Full Data Analyst resume example

Illustrative data disclosure: Names, organizations, dates, and outcomes in this sample are fictional teaching data. Replace every detail with evidence from your own work.

Professional Summary

Data analyst with 4 years turning messy data into decisions across marketing and product. Fluent in SQL, Python (pandas), and Tableau. Built dashboards that cut reporting time 80% and surfaced a churn driver that recovered $1.2M in annual revenue.

Work Experience

Data Analyst — Subscription Media Company

2022 – Present
  • Identified the top churn driver via cohort analysis in SQL + Python, informing a retention campaign that recovered $1.2M ARR.
  • Built 15+ Tableau dashboards adopted by 4 departments, replacing manual spreadsheets and cutting reporting time 80%.
  • Ran an A/B test on onboarding that increased 30-day activation 14%, validated with a two-proportion z-test.

Junior Analyst — Retail Analytics Firm

2020 – 2022
  • Wrote SQL queries against a 500M-row warehouse to produce weekly sales reports for 20 store managers.
  • Automated a manual Excel process with Python, saving ~10 hours/week across the team.

Skills

SQLPython (pandas, NumPy)TableauPower BIExcel (advanced)A/B testingData visualizationETLStatisticsGoogle Analytics

Education & Certifications

B.A. in Economics — State University, 2020

Data Analyst resume summary

Data analyst with 4 years turning messy data into decisions across marketing and product. Fluent in SQL, Python (pandas), and Tableau. Built dashboards that cut reporting time 80% and surfaced a churn driver that recovered $1.2M in annual revenue.

Use this only as a guide to structure. Your summary should highlight the evidence most relevant to the role you want, and it should never copy the sample's background or outcomes.

Experience bullet examples

These bullets show action, scope, method, and result. Project bullets stay project evidence, so keep them labeled as projects and not as paid work.

  • Identified the top churn driver via cohort analysis in SQL + Python, informing a retention campaign that recovered $1.2M ARR.
  • Built 15+ Tableau dashboards adopted by 4 departments, replacing manual spreadsheets and cutting reporting time 80%.
  • Ran an A/B test on onboarding that increased 30-day activation 14%, validated with a two-proportion z-test.
  • Wrote SQL queries against a 500M-row warehouse to produce weekly sales reports for 20 store managers.
  • Automated a manual Excel process with Python, saving ~10 hours/week across the team.

Replace every action, tool, scope, and result with evidence you can explain and verify.

Skills and ATS keywords

These are terms often tied to this role and to the sample evidence on this page. Add a term only when it truly describes your skills or experience, and compare your wording with the specific job description.

SQLPythonTableauPower BIExceldata visualizationA/B testingstatisticsETLdata cleaningdashboardsGoogle AnalyticsregressionKPI

Use the Job Match tool to compare your resume against a specific job description and get tailored keyword recommendations for that exact posting.

How to tailor this example

Name the tool and the decision

Every strong analyst bullet has a tool ("cohort analysis in SQL") and a business result ("recovered $1.2M ARR"). One without the other is either a technician or a talker.

Quantify the data scale

Row counts, number of dashboards, departments served, and hours saved tell the reader how big your work was. "500M-row warehouse" instantly communicates real experience.

Put SQL first if the job asks for SQL

SQL is the single most-scanned analyst keyword. Lead your skills section with it and prove it in a bullet, not just a list.

When your draft reflects your own evidence, check your resume, match it to a job description, or build your version. Each tool helps with a different step, and none of them can check whether a claim is actually true.

Common mistakes

  • Saying "analyzed data" without naming the tool or the outcome.
  • Burying SQL/Python at the end of a long soft-skills list.
  • Listing dashboards you built with no adoption or impact metric.

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Frequently asked questions

What should a Data Analyst resume summary include?

Lead with evidence relevant to analysts moving into BI, product, or marketing analytics roles. Name the skills, work, projects, or education you can support, and avoid copying the illustrative outcomes shown on this page.

Which skills and keywords belong on a Data Analyst resume?

Use terms from the specific job description only when they accurately describe your background. The terms on this page are role-relevant examples, not a universal checklist or a reason to claim a skill you do not have.

Can I copy this Data Analyst resume example?

No. Its names, organizations, dates, grades, projects, metrics, and outcomes are illustrative. Study the structure and evidence patterns, then replace every sample detail with facts from your own work, education, or projects.

How should I tailor a Data Analyst resume to one job?

Compare the posting with your real evidence, put the most relevant sections first, and use accurate wording from the posting where it makes things clearer. Leave any missing requirements as visible gaps rather than adding claims you cannot support.

How to use this example

  1. 1

    Study, don't copy

    Read the example closely. Notice the layout, how each bullet leads with a result, and how the skills line up with the bullets. Apply those patterns to your own experience, and never copy the sample details.

  2. 2

    Learn the keyword patterns

    The ATS keywords below show terms tied to this role. Compare them with the jobs you are applying for, and use only the ones that truly describe your skills.

  3. 3

    Write your own version

    Use the Resume Builder to write your own version with the same clear structure, then check the text it produces with the Analyzer.

  4. 4

    Tailor it to each job

    Once you have a solid base resume, use Job Match to compare it against a specific posting and find the gaps. Adjust the wording a little for each job you apply to.

Score your Data Analyst resume

Upload your resume to see six published score categories and get clear, prioritized feedback. The score is specific to this tool and does not predict hiring outcomes.

Analyze My ResumeBuild a Clear Resume

Related resources

How ATS workflows workWrite evidence-focused bulletsJob Match toolResume glossary

Review your Data Analyst resume against a published rubric

Use ResuPulse to see six score categories and prioritized feedback, then check every suggestion against your real experience and the job you are targeting.

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