Data Analyst resume example
A data analyst resume should prove you can turn data into decisions. This example shows tools, data sizes and the business changes that came from the analysis.
Called a CV in the UK, Ireland, India, Africa, Australia and many other places, and a resume in North America. The layout below works for both.
Fatima Zahra Benali
Data Analyst | SQL, Python, Power BI | Retail and Operations Analytics
London, United Kingdom fatima.benali@example.com
Summary
Data analyst with four years helping retail and logistics teams make better decisions. Builds reliable dashboards, cleans messy data and explains findings in plain language to non-technical managers.
Skills
- SQL (PostgreSQL, BigQuery)
- Python (pandas)
- Power BI
- Tableau
- Excel and Google Sheets
- Data cleaning
- A/B test analysis
- Forecasting basics
- Data storytelling
- Stakeholder management
Experience
Data Analyst
Aug 2022 to Present
Brightbasket Grocery, London, UK
- Built Power BI dashboards used weekly by 40 store and regional managers.
- Analysed 3 years of sales data to adjust stock levels, helping reduce fresh food waste by 11%.
- Automated a weekly report with SQL and Python, saving the team about 6 hours a week.
- Ran analysis for 12 promotion tests and recommended which to roll out nationally.
Junior Data Analyst
Sep 2020 to Jul 2022
SwiftRoute Couriers, Birmingham, UK
- Tracked delivery performance for 500+ drivers in Tableau.
- Found route patterns that helped cut late deliveries by 8% in one region.
- Cleaned and merged data from 3 systems into a single reporting table.
Education
BSc EconomicsUniversity of the Midlands, Birmingham, UK
2020
Certifications
- Microsoft Certified: Power BI Data Analyst Associate
Languages
English (fluent) · Arabic (native) · French (fluent)
This example is fictional: the person, employers and figures are invented to show good structure. Use it as a guide and write your own, true details.
What makes this resume work
- 1Each bullet links analysis to a business result (less waste, fewer late deliveries).
- 2Tools are in the headline and skills, matching common job advert keywords.
- 3Time saved through automation shows efficiency and technical skill.
- 4Stakeholder numbers (40 managers) show the work was actually used.
Common mistakes to avoid
- Only listing tools without showing what you did with them.
- Using jargon that non-technical recruiters will not understand.
- Not including a portfolio or example project when you are new to the field.
Applying for a data analyst job?
Pair your resume with a short, specific cover letter. See the data analyst cover letter example, or draft your own with the cover letter generator.
Questions people ask
How do I get a data analyst job without experience?
Build two or three small projects with public data, put them on a portfolio or GitHub, and describe them on your resume like real work: question, method, result.
Which tools matter most for data analysts?
SQL and a spreadsheet tool are almost always needed. After that, one dashboard tool (Power BI, Tableau or Looker) and some Python or R are common.