Data analyst resume example
Data analyst resumes need to show what you analysed, what you built, and what decision it informed. Hiring managers want tools plus impact. Here’s a strong example you can adapt.
Data analyst resume sample
Summary
Data analyst with 3 years turning messy business data into dashboards and insights that drive real decisions. Comfortable in SQL, Python, and Tableau; experienced working directly with product, marketing, and operations stakeholders to scope and prioritise analytics work.
Experience
- Built a churn-prediction model in Python (scikit-learn) that identified at-risk customers 30 days earlier, helping customer success retain $480k ARR in the first six months.
- Designed and maintain 12 Tableau dashboards used daily by finance, product, and marketing teams; replaced 40+ hours of manual monthly Excel reports.
- Wrote and optimised SQL queries against a 200 M-row Snowflake warehouse; cut average query time from 4 min to 18 sec.
- Delivered weekly performance reports for 8 e-commerce clients; automated the pipeline in Python, cutting report preparation from 6 hours to 45 minutes.
- Cleaned and modelled datasets (up to 5 M rows) for client presentations and quarterly business reviews.
Skills
SQL · Python (pandas, scikit-learn, matplotlib) · Tableau · Power BI · Snowflake · dbt · Excel · A/B testing · Statistical analysis · Data visualisation · Stakeholder communication
Education
BS Statistics, University of Washington
Tips for a data analyst resume
- State the tools in the skills section — SQL, Python, R, Tableau, Power BI, Looker — recruiters and ATS filter by them.
- Quantify business impact: revenue protected, hours saved, query speed improved, model accuracy.
- Link a GitHub or portfolio if your projects are public — it shows real code, not just a skill list.
- Mention the data scale (rows, warehouse size, table counts) to signal you can handle enterprise data volumes.
- Show cross-functional work; data analysts are valued for communication as much as technical ability.
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More resume examples & guides
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FAQ
What should a data analyst put on a resume?
A summary stating your main tool stack and the type of data work you do (reporting, modelling, BI), experience bullets that show business impact and data scale, a skills section listing SQL/Python/R and the BI tools you know, and your relevant degree or bootcamp credential.
Do I need a degree to be a data analyst?
Not necessarily. A portfolio of SQL queries, dashboards, and Python notebooks on GitHub can substitute for a formal degree, especially at entry and mid levels. What matters is demonstrating that you can get from raw data to a useful insight.
How do I write a data analyst resume with no experience?
Lead with personal or course projects: a Kaggle competition, an analysis of public data, or a dashboard you built for a club or volunteer org. Describe the tools, dataset size, and what conclusion you reached — same structure as professional experience, just labelled “Projects”.
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