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Resume keywords & skills for a Data Analyst

A data analyst resume's keywords cluster along the pull–clean–analyze–communicate chain: SQL, data cleaning, statistical analysis, data visualization, A/B testing, reporting, and dashboards — with tools like SQL, Python / R, Excel, Tableau, Power BI, and Pandas. On the human side, it's whether you can turn numbers into a business story. Paste your resume below to see which of this role's keywords you hit and miss — comparison only, nothing uploaded. Keywords align your analytics skills to the role; they don't inflate a score.

Data Analyst resume keywords (30)

Hard skills

data analysisdata visualizationstatistical analysisdata cleaningETLreportingdashboardsA/B testingpredictive modelingdata modelinghypothesis testingKPI trackingforecasting

Tools & tech

SQLPythonRExcelTableauPower BIPandasNumPyLookerBigQuerySnowflakeGoogle Analytics

Soft skills

attention to detailstorytellingcommunicationcritical thinkingbusiness acumen

Check your resume against these Data Analyst keywords

Paste your resume (or drop a file) and see which of this role's keywords you already have and which you're missing — entirely in your browser, nothing uploaded.

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Keywords are relevance, not a trick

Data keywords need real projects behind them: if you list SQL or Tableau, be ready to say what you did with them and what you concluded. A pile of tool names with no outcome is something recruiters see through instantly.

Frequently asked questions

For the vast majority of data analyst roles, SQL is a hard gate — it's all but assumed. If you know it, list it and pair it with a concrete problem you solved with it. If you're not fluent yet, learn it before applying: it's the hardest keyword to skip for this role.

List the ones you've genuinely used. Almost everyone writes 'Excel,' so show depth via pivot tables, functions, or automation. Knowing one visualization tool (Tableau or Power BI) well, with a real dashboard to show, beats dabbling in three.

It depends on the role. Reporting/BI analyst jobs are often fine with SQL plus one visualization tool; modeling/advanced analytics roles lean on Python / R. Aim honestly at the type you match, rather than forcing in programming keywords you can't back up.

No. Keywords raise relevance, but what moves a recruiter is what business question you answered with data and what decision it drove. PolishCat helps align wording and spot gaps — it doesn't sell a 'guaranteed ATS pass' line.

Updated 2026-06-07 · PolishCat team