Data Analyst CV Example & Template (2026)

Updated May 2026 · 6 min read

A data analyst CV should prove you turn data into decisions. Quantify the business outcomes of your analysis, and match the SQL/BI tools in the job spec.

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Key skills employers look for

SQLExcel / Google SheetsPython / RPower BI / TableauData visualisationA/B testing

List the ones that appear in the actual job description first — recruiters and ATS software both scan for an exact match.

ATS keywords to include

Applicant Tracking Systems rank you on keyword overlap with the posting. Common data analyst keywords:

SQLdashboardsdata cleaningKPIsTableauPower BIstatistical analysisreporting

Example bullet points: weak → strong

✗ "Made reports for the sales team."

✓ "Built a self-serve Tableau dashboard that cut weekly reporting time 80% and surfaced a churn driver worth £200k ARR."

✗ "Analysed customer data."

✓ "Ran a cohort analysis in SQL that identified the highest-LTV segment, redirecting spend to lift ROAS 1.6×."

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Common mistakes to avoid

Describing tools used without the decision or outcome they drove
No quantified business impact (£, %, time saved)
Omitting SQL — it is on nearly every data analyst job spec
Walls of text instead of crisp, metric-led bullets

Frequently asked questions

Is SQL essential on a data analyst CV?

Yes — SQL is the most-requested skill for data analysts and should appear near the top.

Do I need Python?

It helps for senior roles, but strong SQL + a BI tool (Tableau/Power BI) covers most analyst postings.

Should I show a portfolio?

A short portfolio of dashboards or a GitHub with notebooks is a strong differentiator.