Data Analyst resume that gets the interview
SQL, dashboards and business impact in a format that survives both the parser and the hiring manager.
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Build my data analyst resumeATS keywords screeners filter for
Applicant tracking systems match literal phrases from the job posting. These are the terms most data analyst postings expect to see:
SQLPythonTableauPower BIdata visualizationA/B testingreportingExcel
How to write it
- Put your core tools (SQL, Python, Tableau, Power BI) in a skills section the ATS can parse cleanly.
- Tie analyses to decisions: 'churn model that informed a retention campaign saving $400K'.
- Link a portfolio or dashboard if you have one. It differentiates you instantly.
- Avoid listing every library. Depth in a few tools reads better than a buzzword wall.
Skills worth listing
Technical
- SQL
- Python (pandas)
- Tableau
- Power BI
- Excel
- A/B testing
- dbt
Interpersonal
- Stakeholder communication
- Data storytelling
- Problem framing
- Attention to detail
Recommended style: Pure ATS
Plain single column. Maximum parser compatibility.
Start with Pure ATS, freeCommon questions
Do I need a portfolio as a data analyst?
It helps a lot, especially for entry-level roles. Two or three public dashboards or notebooks beat a longer skills list.
Should I list Excel if I know SQL and Python?
Yes. Many ATS filters and hiring managers still screen for Excel explicitly.
How technical should the resume be?
Technical enough to pass the recruiter screen, but every bullet should end in a business outcome.
Pair it with a cover letter
See our data analyst cover letter guide for the tone, openers and mistakes that matter in this field.
Data Analyst cover letter guide