Data Analyst CV Example

A data analyst CV is built on clearly showing your technical tooling (SQL, Python, BI) and the impact of your analysis on business decisions. Employers look for "how you turned data into insight". Keep it one page, ATS-friendly and free of photos or personal details.

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Sample Data Analyst CV

Daniel Foster

Data Analyst

London, UK

Summary

4 years of data analysis experience. Cleaned, analysed and reported on data with SQL and Python; built management dashboards in Power BI. My analysis delivered measurable impact on marketing and operations decisions.

Experience

Data Analyst · E-commerce Retailer

Feb 2022 – Present
  • ›Increased campaign conversion by 22% through customer segmentation analysis.
  • ›Cut manual reporting by 10 hours a week with Power BI dashboards.
  • ›Analysed A/B test results to steer product decisions.

Junior Analyst · Consultancy

Sep 2020 – Jan 2022
  • ›Standardised the reporting infrastructure with SQL queries.
  • ›Automated data-cleaning processes with Excel and Python.

Skills

SQLPython (pandas)Power BIExcel (advanced)Data VisualisationA/B Testing

Education

BSc Industrial Engineering · University of Warwick (2016 – 2020)

What to Highlight in a Data Analyst CV

  • ✓List your tools clearly: SQL, Python, Power BI/Tableau, Excel.
  • ✓Show the business impact of your analysis in numbers: "raised conversion by 22%".
  • ✓State the type of analysis you do (segmentation, A/B testing, forecasting).
  • ✓Add a portfolio/GitHub or sample dashboard link if you have one.

Technical Skills

  • •SQL
  • •Python / R
  • •Power BI / Tableau
  • •Excel (advanced)
  • •Statistics
  • •Data visualisation

Soft Skills

  • •Analytical thinking
  • •Attention to detail
  • •Business acumen
  • •Communication

Common Mistakes

  • ✕Only listing tools without showing business impact.
  • ✕Skipping the outcome of your analysis (the decision/impact).
  • ✕Piling on technical jargon the employer will not understand.

Frequently Asked Questions

Which tools matter on a data analyst CV?

SQL is almost mandatory; then Python/R, Power BI/Tableau and advanced Excel. State clearly what you know.

Is a portfolio necessary?

Very helpful — a GitHub, sample dashboard or analysis project link proves your technical ability.

Build your own Data Analyst CV in 5 minutes

Ready-made templates, AI content generation and tailoring to the job — start free.

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