Data analyst CV example: bullets, skills and summary
A data analyst CV (or data analyst resume) has to show your toolkit — SQL, a BI tool, usually Python or R — and, more importantly, the decisions your analysis changed. Hiring managers look for the questions you answered, the data you worked with and the business result.
Example achievement bullet points
Numbers are illustrative – use your own. Each bullet: action verb + scope + result.
- Built a churn dashboard in Power BI used weekly by the customer success team, helping them prioritise around 200 at-risk accounts a month.
- Wrote SQL models on a 50-million-row events table to define product activation, adopted as the company's standard metric.
- Analysed a pricing test across 3 markets and recommended a new tier that increased average order value in the following quarter.
- Automated 6 weekly Excel reports with Python and dbt, saving the team about 8 hours a week.
- Cleaned and merged CRM and billing data, resolving duplicate customer records that had distorted revenue reporting.
- Presented monthly insights to the leadership team, translating findings into 3–4 concrete recommendations each time.
- Set up data quality checks that caught pipeline failures before reports went out.
Skills recruiters look for
- SQL
- Python (pandas) or R
- Power BI, Tableau or Looker
- Excel (advanced)
- Data cleaning and modelling
- dbt / data warehouses (BigQuery, Snowflake)
- Statistics and A/B test analysis
- Dashboard design
- KPI definition
- Data storytelling
- Stakeholder communication
- Attention to detail
Sample CV summary
Data analyst with 3 years of experience in e-commerce and SaaS, working daily in SQL, Python and Power BI. I focus on analyses that change decisions — from defining activation metrics to pricing tests. Looking for a product analytics role in a data-driven team.
Tips for this CV
Show the decision, not just the dashboard
Each bullet should end with what someone did with your analysis: a feature prioritised, a cost cut, a campaign stopped.
List your stack honestly
Group tools by type (querying, BI, programming, warehouse). Only include what you can discuss confidently in a technical interview or take-home task.
Add a portfolio for career changers
If you are moving into data, link 2–3 public projects (GitHub, Tableau Public, Kaggle) with a clear question, method and conclusion.
Designs that suit this job
FAQ
How do I write a data analyst CV with no experience?
Lead with projects, courses and any analysis you did in a previous role (Excel reports, process tracking). Describe each project like a job bullet: question, tools, result.
Should I list certifications like Google Data Analytics?
Yes, in a certificates line — they help with ATS filters for entry-level roles. Projects and real results still carry more weight.
How technical should a data analyst resume be?
Technical enough to pass the tool filter, but each bullet should be readable by a non-technical manager. Name the tool, then the business result.