Professional · Resume Guide

Write a Data Analyst Resume That Shows Insight and Business Impact

Data analyst hiring managers want to see SQL proficiency, visualization tool experience, and evidence that your analyses drove real decisions. The best data analyst resumes don't just describe the work — they describe what happened as a result. Every analysis should end with a business impact bullet.

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Key Skills for Data Analyst Resumes

SQL (Postgres, MySQL, Snowflake)Python (Pandas, NumPy)Tableau / Power BI / LookerA/B Testing & Statistical AnalysisETL & Data PipelineBusiness Intelligence ReportingData Cleaning & WranglingExcel / Google Sheets (Advanced)

ATS Keywords That Get Data Analyst Resumes Past Screening

These are the exact phrases that ATS systems filter for in data analyst job postings. Include them verbatim in your resume.

SQLdata analysisTableauPythonPower BIA/B testingbusiness intelligenceETL

Strong Resume Bullet Examples

Quantified, action-first bullets that show impact — not just job duties.

→Built SQL dashboard in Tableau tracking 12 KPIs for C-suite, reducing weekly reporting time from 6 hours to 20 minutes
→Conducted A/B test on checkout flow change, identifying $340K annual revenue opportunity that was subsequently prioritized and shipped
→Cleaned and standardized 2.4M customer records across 3 legacy databases, improving email deliverability from 61% to 87%

Data Analyst Resume Tips

Show the decision your analysis informed

"Analyzed sales data" is a job description. "Analyzed sales data that led to 3 underperforming SKUs being discontinued, recovering $80K in shelf space" is an achievement.

Frequently Asked Questions

Should a data analyst list their SQL skills in detail?▾

Yes — be specific. "Proficient in SQL" is vague. "Advanced SQL: window functions, CTEs, query optimization on 50M+ row tables in Snowflake" is much more compelling and will pass technical screening.

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