Data analyst resume example

Build the story around evidence

An analyst resume needs to show the path from an uncertain business question to a decision. A dashboard is an output; the decision it enabled is the more useful story.

Describe the question, source data, cleaning checks, analysis, and recommendation. Be clear about correlation and causation.

A useful resume structure

Include a portfolio with a short problem statement, reproducible query or notebook, and explanation of limitations. Remove confidential or identifying data.

Start with your name and contact details, then a short targeted summary. Follow with the most relevant experience or projects, skills you can demonstrate, and education. Use standard headings and consistent dates so readers can navigate quickly.

Write a stronger achievement bullet

The following is a fill-in structure, not a claim to copy as your own. Replace every bracket only with a detail that is true. If you cannot verify a number, describe the scope or outcome in plain language.

Analyzed [dataset] using [method] to investigate [business question]; presented [finding] with [limitation] to [audience].

Skills to consider when supported

SQL, spreadsheets, data cleaning, visualization. Select only the skills you actually possess and that matter for the role. Put important skills in the context of your experience as well as in a short skills section.

Common mistakes to avoid

Do not say your report increased revenue unless that attribution is supported. Avoid presenting a training dataset as a real client engagement.

Before sending, copy the exported document into a plain-text editor. Check whether headings, dates, and bullets remain in a sensible order. Follow the employer’s requested file format.