Data Analyst CV Example
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Data analysts don't get hired for knowing SQL; they get hired for turning data into a decision. Your CV needs to show the whole chain: what the data was, what you did with it, and what decision changed as a result.
Copy-ready professional summary
Copy it, then swap the numbers and details for your own.
Data analyst with four years analysing sales and operations data using SQL, Python and Power BI. Built 15 interactive dashboards now used daily by three departments, and a customer behaviour analysis that contributed to an 18% lift in retention.
Skills employers look for
- SQL — complex queries and optimisation
- Python — pandas and NumPy
- Power BI and Tableau
- Advanced Excel and modelling
- Statistics and hypothesis testing
- Data cleaning and quality assurance
Ready-made experience bullets
Replace anything in brackets with your own details, and keep the numbers — they're what sets your CV apart.
- Built 15 Power BI dashboards used daily by three departments for decision-making.
- Ran a customer behaviour analysis that drove a retention campaign, lifting retention 18%.
- Automated a weekly report that previously took eight hours of manual work.
- Cleaned and standardised a 1.2M-record database ahead of migration.
Education
BSc Statistics, Computer Science or Mathematics — [University].
ATS keywords
Include these terms exactly as written — applicant tracking systems match on literal text.
- SQL
- Python
- Power BI
- Tableau
- data analysis
- pandas
Tips specific to this role
Name the decision, not just the analysis
"Analysed sales data" describes a task. "Analysis that drove a campaign lifting retention 18%" is an achievement — and achievements are what get hired.
SQL goes first, always
It's the most in-demand and most filtered-on skill in this role. Put it at the top of your skills list and in the summary, not at the end of a line.
Data volume signals your level
"1.2M records" tells a hiring manager you've worked with real data, not a 300-row spreadsheet.