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Data Analyst CV Example UK

Build a data analyst CV around the experience, skills and evidence that matter for the role — then choose from 250 professional CV Studio designs.

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What to put near the top

State the domains, datasets and analysis work you know, the tools you genuinely use and the decisions or outcomes your work supported.

Experience: turn duties into evidence

Use real evidence: cleaned or modelled data, built dashboards, automated reports, analysed trends, defined metrics or supported decisions.

Skills worth considering

Only include skills you genuinely have and that match the vacancy. Useful examples can include SQL, Excel, Power BI, Tableau, Python, Data cleaning.

Achievement ideas

Consider hours saved, reporting improved, errors reduced, insights adopted, dashboards used or commercial/operational outcomes where measurable and true.

Useful terminology

Useful terms when accurate: SQL, data model, KPI, dashboard, ETL, validation, segmentation, forecasting, visualisation, data quality.

Recommended CV structure

Prioritise Analytical Profile → Projects/Impact → Tools → Experience → Education.

Truth-first rule: use these prompts to find your own evidence. Never add employers, dates, qualifications, licences, registrations, metrics or achievements that are not true for you.