Data Analyst CV example
Show the decisions your analysis drove, not just tools.
Sample professional summary
“Data analyst who built dashboards that informed a pricing change worth $1.2M in incremental annual revenue.”
Key skills recruiters look for
- SQL
- Python
- Tableau
- Statistics
- A/B testing
- dbt
How to write strong bullet points
- Connect analysis to a business decision and its value.
- Name the tools, but lead with the outcome.
- Show stakeholder communication.
Data Analyst career path & typical salary
How the role typically progresses, with the kind of responsibilities and approximate US base-salary range at each stage.
0–2 yrs
Pulls and cleans data, builds dashboards, and answers defined business questions with SQL and a BI tool.
2–5 yrs
Frames ambiguous questions, owns reporting for a domain, and drives decisions with rigorous analysis.
5–8 yrs
Leads analytics for a business area, sets metric definitions and experiment design, mentors analysts.
8+ yrs
Owns the analytics function for a department, prioritizes the roadmap, and builds the team and standards.
8+ yrs
Moves into modeling/experimentation or leads analytics org-wide with strategic ownership.
Salary figures are approximate US market estimates for general guidance only. Actual pay varies widely by location, industry, employer, education and negotiation.
Common Data Analyst interview questions
Practice structured answers (situation, action, measurable result) — the same achievements belong on your CV.
- Walk me through an analysis that changed a business decision.
- A key metric dropped 15% overnight — how do you investigate?
- How do you decide which metric actually represents success for a feature?
- Write the SQL approach for month-over-month retention — talk me through it.
- How do you present an unwelcome finding to a stakeholder who wants a different answer?
- How do you check whether a difference between two groups is real?
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