Resume Keywords · Data Analyst
Data Analyst Resume Keywords & ATS Skills
Data analyst resumes are screened for a tight set of hard skills, and they cluster predictably: a query language (SQL), a programming language (Python or R), a BI platform (Tableau, Power BI, or Looker), and the analysis methods the posting names (A/B testing, cohort analysis, forecasting). Missing any one of those exact terms can drop a qualified analyst before a human reads the resume. Mirror the job description's own wording and back each keyword with a result.
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These terms cluster into a few categories. Focus on the groups that match your target job description, and use the exact wording the employer uses.
Certifications & credentials
Languages & BI tools
Analysis methods
Business & reporting skills
Where to place these keywords
Lead with the query and programming languages (SQL, Python) and your BI platform in a skills line the ATS can parse, then mirror the posting's analysis verbs — "built dashboards," "ran A/B tests," "forecasted churn" — inside your experience bullets, each followed by the metric it moved.
Data Analyst resume keywords FAQ
Which data analyst keywords matter most for ATS?+
SQL first, then your programming language (Python or R) and BI tool (Tableau, Power BI, Looker). After those, the analysis methods the job posting names — typically A/B testing, data modeling, and forecasting — using the employer's exact wording.
Should I list every BI tool I have touched?+
No. Name the platforms you can work in unsupervised (Tableau, Power BI, Looker) and put the rest in a single "also familiar with" line. Depth in the tools the posting names beats a long list of ones you used once.
How do I show analytics impact to an ATS?+
Attach a number to the keyword: "built a Power BI dashboard that cut weekly reporting time 40%" or "ran A/B tests that lifted conversion 8%." The metric makes the skill verifiable for both the parser and the hiring manager.
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