Data analyst resumes are scanned for tools and impact. Show the stack you use and the decisions your analysis drove, with numbers.
"Analyzed data" is weak. "Built a churn model that cut monthly churn 12%, saving $300K a year" is strong. Connect every analysis to a decision or dollar figure.
SQL, Python or R, BI tools (Tableau, Power BI, Looker), spreadsheets, and any cloud warehouse. ATS and hiring managers search for these exact tools.
From pulling and cleaning data to modeling, visualizing, and presenting. Mention dashboards you own and the stakeholders you report to.
Revenue influenced, costs cut, hours saved, accuracy gained. Analysts who quantify their own impact stand out immediately.
Work the relevant terms into your bullets. ATS and recruiters search for exactly these:
Recommended template: Technical or Modern. PickedCV's ATS-friendly templates keep your stack and quantified impact readable to both the parser and the hiring manager, never watermarked.
Your tools (SQL, Python or R, a BI tool) and the business impact of your analysis, expressed in numbers.
Yes, especially for junior roles or career changers. A linked dashboard or GitHub adds credibility quickly.
No. English-language resumes omit photos, date of birth, and marital status. Focus on tools and measurable impact.
Build your data analyst resume for free →