Data Analyst Resume Example & Guide (2026)
A Data Analyst resume is read for the decisions your analysis drove, not the queries you wrote. This example shows how to lead with business impact, a data-quality catch, and rigor under uncertainty.
The reader looks for the decision your analysis changed, the business effect in numbers, and the size of the data you worked with. A list of tools with no outcome reads as a report builder. Show one experiment or causal analysis and one data-quality catch to signal judgment.
Data Analyst resume example
Professional summary
Data Analyst with 4 years turning raw data into decisions with SQL, Python, and clear dashboards. Owns experiment analysis and self-serve reporting for product and growth teams.
Experience
Data Analyst · Consumer app
- Found a tracking bug masking 12 percent of signups, correcting the growth model and reprioritizing a full quarter of roadmap.
- Ran the A/B analysis on a pricing test that lifted revenue per user 7 percent, sized to a 3 percent minimum detectable effect.
- Built a self-serve retention dashboard adopted by 5 teams, cutting ad-hoc data requests 40 percent.
Junior Data Analyst · SaaS company
- Automated a weekly SQL report, saving 6 hours a week and removing a recurring manual error.
- Segmented churn by cohort to surface a 22 percent drop-off in week 2, driving an onboarding fix that recovered 9 percent.
- Rebuilt the funnel model to handle NULLs and duplicates, reconciling reported revenue within 1 percent of finance.
Skills
How to tailor your Data Analyst resume
Tailor to the analytics the role emphasizes. For a product role, lead with the experiment you analyzed and the decision it drove. For a growth role, lead with the funnel or retention insight. Read the posting for the stack and put the SQL dialect and BI tool they use first, dropping anything you only touched in a tutorial. Every bullet should name the decision your analysis changed and the business effect in numbers, since a query list with no outcome reads as a report builder. Include one data-quality catch, since finding the bug in the numbers signals judgment. Keep it to one page, and open your most recent role with the analysis that moved a real decision.
Writing tips for a Data Analyst resume
- Lead with the decision your analysis drove, not the query you wrote. Analysts are hired for impact on choices.
- Quantify the business effect: revenue, retention, or hours saved, and the size of the data you worked with.
- Show one experiment or causal analysis, since rigor under uncertainty separates analysts from report builders.
- Name the SQL and stats you can defend live, and drop tools you only touched in a tutorial.
- Mention a data-quality catch. Finding the bug in the numbers signals judgment recruiters trust.
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