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A data analyst resume should show the full pipeline from collection and cleaning to analysis and modeling, plus the business judgment to turn findings into decisions stakeholders act on.
A Swiss-grid header with stepped-number titles and a light right sidebar; each main-column entry opens with a role kicker; for global, engineering, tech, and data roles
Use this templateA minimal monogram header with oversized-numeral titles and accent-bar entries; monospace ordinal feel; for engineering, data, tech, and general use
Use this templateA terminal-window header with command-prompt titles and numbered section gutters; monospace daemon feel; for engineering, data, tech, and general use
Use this templateSelecting "Use this template" on any template creates a new resume with that theme preset; your existing resume is untouched.
A data analyst resume should show the full pipeline from collection and cleaning to analysis and modeling, plus the business judgment to turn findings into decisions stakeholders act on.
List your core stack: SQL, Python or R, a BI tool (Tableau, Power BI, Looker), and advanced spreadsheet skills. Frame projects by business outcome, not jargon: "Built a churn segmentation that lifted repeat purchase rate by 23%". Show stakeholder communication: dashboards you owned and how leadership used your analysis. Highlight A/B testing, attribution, or forecasting work with the methods and results. Keep it to one ATS-friendly page; lead with action verbs and numbers, no photo or personal fields.
Based on the role, recommended templates include Pinnacle, Ordinal, Daemon, Schematic, Console. You can pick one above and start editing — no sign-up needed.
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