Resume template for Data Analyst
A data analyst CV should demonstrate two things: technical fluency (SQL, Python, BI tools) and the ability to turn analyses into business decisions. Hiring managers look for concrete examples where your work changed a metric, a process, or a strategy — not just dashboards built. Pair each tool with the problem it solved, and let one or two outcome-focused stories carry the document. Avoid generic 'data-driven' phrasing.
A modern layout lets you separate the tooling stack from outcome-focused project narratives, which is how analyst work tends to be evaluated.
Profile example
„Data Analyst with 4 years of experience translating product and customer data into decisions. Focus areas: SQL/dbt modeling, Looker dashboards, Python automation. Strong stakeholder skills with product, growth, and finance teams.“
Example bullets for work experience
- •Rebuilt the cohort retention model in dbt and Looker — drove a re-prioritized onboarding flow that lifted week-4 retention by 9 points
- •Automated weekly executive reporting in Python — saved roughly half a day per week of manual work
- •Designed and shipped the company's first North Star dashboard, used in every monthly business review
- •Partnered with marketing on attribution analysis — reallocated 200k EUR of paid spend to higher-ROI channels
- •Trained 6 PMs in self-serve SQL — analyst ad-hoc requests down 35%
Tips specific to Data Analyst
- 1.Lead with one analysis that drove a real business decision, not a tool list
- 2.Mention specific stack components (SQL, dbt, Looker, Python) that match the posting
- 3.Quantify outcomes (metric changes, time saved, decisions reversed)
- 4.Show stakeholder collaboration, not just isolated dashboard work
- 5.Avoid 'data-driven' as a buzzword — show it through examples
Frequently asked questions
How long should a data analyst CV be?
Two pages maximum, one page for under 5 years of experience.
Should I list every BI tool I have ever opened?
No. Focus on the one or two you genuinely use in production (Looker, Tableau, Power BI). Surface coverage reads thin.
Do I need a stats degree?
Not for most analyst roles. A track record of decisions made from your analyses matters more.