Skip to main content
Free resume exampleUpdated September 2026

πŸ“ˆ Data Analyst resume example

A data analyst resume example built to pass applicant tracking systems and prove real business impact. It opens with the tools recruiters search for, SQL, Tableau and Power BI, and turns every dashboard and report into a number: revenue recovered, errors cut, or a budget decision shaped.

Free β€’ Opens with the example filled in β€’ Download as PDF after a free signup

This example contains 22 of 51 ATS keywords employers use for Data Analyst roles.

Keywords come from the same dictionary the 22skills ATS checker scores against. Matched terms are shown in green.

Example resume

Fictional example. Name, employers and numbers are invented; the structure and keywords are real.

Renee Foster

Data Analyst Β· SQL & Dashboards

Phoenix, United States

About

Data Analyst with 5 years of experience turning raw data into decisions for retail and marketing teams. Builds dashboards in Tableau and Power BI, writes SQL against BigQuery, and runs the A/B testing and forecasting behind promotional campaigns. Known for data storytelling: executives act on her recommendations because the number, the chart and the next step arrive together.

Experience

  • Saguaro Retail GroupΒ· Senior Data AnalystPhoenix, AZ (hybrid)2023-02 – Present
    • Own weekly merchandising dashboards in Tableau used by 30 stakeholders across 12 regions, replacing 9 manually built spreadsheets.
    • Found a checkout drop-off through cohort analysis in SQL and BigQuery; the fix recovered about $600,000 in annual revenue.
    • Run A/B testing for promotional campaigns and set the forecasting baseline that separates seasonal noise from real change.
    • Added data validation checks to the nightly reporting pipeline, cutting reporting errors from 12 a month to under 2.
    • Present a monthly KPIs review to the leadership team, translating trend analysis into three recommended actions each time.
  • Copper Peak MarketingΒ· Data AnalystPhoenix, AZ2020-08 – 2023-01
    • Cleaned and modeled marketing datasets in Python with Pandas, then published results in Looker for a growth team of 8.
    • Automated recurring campaign reports in Excel and Power BI, saving the team roughly 10 hours a week.
    • Ran requirements sessions with stakeholders and defined the 15 KPIs the marketing dashboard still tracks today.
    • Led the evaluation that standardized the team on Tableau, migrating 40 reports in one quarter.
  • Desert Bloom NonprofitΒ· Junior Data AnalystPhoenix, AZ2019-06 – 2020-07
    • Built the donor database dashboards in Excel and Tableau for the fundraising team.
    • Documented data definitions for 60 fields so program staff could pull their own numbers.

Education

  • Arizona State UniversityΒ· B.S. Business AnalyticsBusiness Analytics2015-08 – 2019-05

Projects

Certifications

  • Google Data Analytics Professional Certificate Β· Google (2020)
  • Tableau Desktop Certified Associate Β· Tableau (2022)
  • Microsoft Certified: Power BI Data Analyst Associate Β· Microsoft (2023)

Why this example passes the ATS

  • The summary names the role and core tools, Tableau, Power BI, SQL and BigQuery, in the first two sentences, matching how data analyst job posts and ATS keyword scans are written.
  • Every bullet pairs an analysis with a business result, for example the cohort and funnel analysis that recovered $600,000 in annual revenue by finding a checkout drop-off.
  • Skills are grouped into core skills, visualization, programming and business intelligence using exact terms like "A/B Testing", "Cohort Analysis" and "Data-Driven Decisions" that recruiters search for.
  • Certifications use full official names, "Google Data Analytics Professional Certificate" and "Microsoft Certified: Power BI Data Analyst Associate", so both the vendor and the credential level match.
  • The career path moves from a nonprofit donor dataset to a retail dashboard used by 30 stakeholders, showing growing scope rather than a flat repetition of the same task.

Data Analyst ATS keywords in this example

Grouped the way the checker groups them. Green terms appear in the example above; grey ones are in the dictionary but not used here.

Core Skills

6/10
  • SQL
  • Excel
  • Data Cleaning
  • Data Validation
  • Reporting
  • Dashboards
  • Data Analysis
  • Statistical Analysis
  • ETL
  • Data Modeling

Visualization Tools

3/9
  • Tableau
  • Power BI
  • Looker
  • Google Data Studio
  • Qlik
  • Metabase
  • Superset
  • Excel Charts
  • Data Visualization

Programming

3/10
  • Python
  • Pandas
  • BigQuery
  • R
  • NumPy
  • Jupyter
  • VBA
  • DAX
  • M Language
  • SQL Server

Business Intelligence

5/9
  • KPIs
  • A/B Testing
  • Trend Analysis
  • Forecasting
  • Cohort Analysis
  • Metrics
  • Business Intelligence
  • Data-Driven Decisions
  • Funnel Analysis

Soft Skills

2/7
  • Data Storytelling
  • Stakeholder Communication
  • Requirements Gathering
  • Problem Solving
  • Attention to Detail
  • Cross-functional Collaboration
  • Presentation Skills

Certifications

3/6
  • Google Data Analytics
  • Tableau Desktop Certified
  • Power BI Data Analyst
  • SQL Certification
  • Excel Expert
  • SAS Certified

How to adapt this example to your own experience

  1. 1Swap the visualization tools for what the job post names, Tableau and Power BI here could become Looker and Google Data Studio.
  2. 2Replace the revenue and error numbers with your own, a dollar figure or a percentage reduction is what makes a data analyst bullet credible.
  3. 3Keep the skills section to 15-22 tools split across core skills, visualization, programming and business intelligence, matching this example's structure.
  4. 4If you came from a smaller or nonprofit environment like this example's early role, keep one bullet showing you can work with a small budget and still ship a usable dashboard.
  5. 5Add one line on stakeholder communication or presentation skills even if your title is purely technical, data analysts are judged on whether decisions get made from their work.

Questions about the Data Analyst resume

How long should a data analyst resume be?

One page for up to about five years of experience, two pages at most for senior or lead data analysts managing multiple stakeholders. Keep the current role and its business impact on the first page.

Is SQL more important than Python for a data analyst resume?

For most data analyst roles, yes. SQL appears in almost every data analyst job post since it is how analysts query the warehouse directly, while Python and R are common but not universal requirements.

Should I include Excel skills if I mainly use Tableau or Power BI?

Yes. Many teams still use Excel for quick analysis and stakeholder handoffs, so listing it alongside Tableau or Power BI shows practical range, not just dashboard-building ability.

Do I need a certification like Google Data Analytics to get hired?

No, but it helps if you lack a related degree or formal experience. A certificate such as the Google Data Analytics Professional Certificate can pass an ATS keyword filter and show foundational skills, but a portfolio of real analysis matters more.

What is the difference between a data analyst and a data scientist resume?

A data analyst resume emphasizes SQL, dashboards and business reporting with tools like Tableau and Power BI. A data scientist resume emphasizes machine learning, statistical modeling and tools like Python, TensorFlow and PyTorch. The two overlap most around SQL and statistical analysis.

Next steps for your Data Analyst resume

More resume examples

Make this Data Analyst resume yours

Open the example in the free builder, replace the details, and download an ATS-safe PDF. No credit card.