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Data Analyst Resume Example

A data analyst resume example built around tools and measurable impact, shown in the Helix template. See what a strong resume looks like, then build your own and export a pixel-perfect PDF.

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  • A real data analyst example to reference while you fill in your own details.
  • ATS-friendly: clean, single-column, selectable vector text.
  • 3 curated color schemes, switchable in a click.
  • True-to-PDF live preview.
Wei Zhang
Data Analyst
Professional Summary

Data analyst with 5+ years turning messy data into decisions. Strong in SQL, Python, and dashboarding, with a record of shipping analyses that change how teams operate.

Experience
Data Analyst2021 - Present
Northwind Retail · Denver, CO
  • Built the core sales dashboard in Tableau, now used daily by 80+ staff.
  • Wrote SQL models that cut a monthly reporting process from two days to two hours.
  • Ran an A/B test analysis that informed a pricing change worth $1.2M in annual revenue.
  • Partnered with marketing to define KPIs and a single source of truth for funnel metrics.
Junior Data Analyst2019 - 2021
Cobalt Insurance · Denver, CO
  • Automated weekly Excel reports with Python, saving roughly ten hours a week.
  • Cleaned and validated a 2M-row claims dataset ahead of a system migration.
  • Built a churn dashboard in Power BI that flagged at-risk accounts weekly.
Analytics Intern2018
Summit Health · Boulder, CO
  • Supported the analytics team with ad hoc SQL queries and data QA.
  • Built a Tableau prototype that became the team's onboarding dashboard.
  • Documented data definitions that cut repeat questions from stakeholders.
Education
B.S. Statistics2014 - 2018
Colorado State University
Google Data Analytics Certificate2020
Coursera
Skills
SQLPythonTableauPower BIExcelData VisualizationStatisticsETLA/B TestingPandasData CleaningDashboards

What makes a strong data analyst resume

A data analyst resume has to prove two things at once: that you handle data end to end, and that your analysis changes decisions. Name the tools you work in, like SQL, Python, and a BI platform, in your summary, then show the outcome of the work, not just the task.

Recruiters and applicant tracking systems screen hard for specific tools, so list them clearly and back them up in your bullets. Quantify impact wherever you can: time saved, revenue informed, processes automated. One page suits most analysts.

What to include

  • A skills section listing your stack: SQL, Python or R, a BI tool like Tableau or Power BI, and Excel.
  • Bullets that pair analysis with impact: a decision informed, revenue moved, or hours automated away.
  • The scale of data you work with: rows, sources, or pipelines, so a reader can size the work.
  • Methods that show rigor: A/B testing, forecasting, data cleaning, and validation.
  • Domain context, like the industry or function you supported, to show business understanding.

Build your own in minutes

The example above shows what a strong data analyst resume looks like in the Helix template. Open it in the editor and the example stays a click away in the preview while you fill in or import your own details. Switch the template or colors anytime, and export a clean PDF when you are ready. Your details carry across every template, so you can try a different look without re-typing a thing.

Applying to a specific data analyst role? Before you export, you can tailor your resume to the job description with AI: paste the posting to see the keywords you are missing and get your bullets reworded for the role, with every change yours to accept.

Once it is written, drop it into the free resume checker for a score and an ATS check, then practice the data analyst interview questions it is likely to lead to, in a mock interview grounded in the resume you just wrote.

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Prefer to start from a design instead? See the Helix template or browse all templates.

Data Analyst resume FAQ

What skills should a data analyst resume highlight?
The core stack first: SQL, Python or R, a BI tool like Tableau or Power BI, and Excel. List the tools the posting names and prove them in your experience bullets.
How do I show impact on a data analyst resume?
Tie each analysis to a decision or result: a dashboard adopted, a process automated, revenue informed by a test. Numbers turn 'analyzed data' into evidence.
Should I list specific tools and languages?
Yes, explicitly. Applicant tracking systems often screen for exact tools, so name SQL, Python, Tableau, and the rest clearly rather than hiding them in prose.
How long should a data analyst resume be?
One page for most analysts. Move to two only with many years of experience and projects that genuinely need the room.

More on pricing and exports is in the general FAQ.