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Data Analyst resume example
A data analyst is hired to turn messy operational data into answers someone can act on. In an engineering organisation that usually means writing SQL against warehouse tables, building dashboards that on-call engineers and product managers actually open, and doing the ad hoc digging when a metric moves and nobody knows why. The job is judged on whether the numbers are right and whether anyone changed a decision because of them.
A screener reads a data analyst resume looking for three things fast: which databases and dialects you have written against, which BI tool you own end to end, and evidence that you can define a metric and defend it. Listing tools is not enough. Each role should show the question you were asked, the query or model you built, and what the business did next.
Mid-level means you are trusted alone with a dataset. Show that you have cleaned data no one wanted to touch, caught a bad number before it reached a report, written documentation other people use, and taught a stakeholder to read a dashboard instead of asking you for a screenshot. Keep it to one page and put numbers on the outcomes.
The example
Jordan Avery is a placeholder, and every employer on this page is fictional. The numbers are illustrative.