Data analyst resume guide
Great data analyst resumes show business impact: metrics, decisions influenced, and trustworthy analytics work.
What recruiters look for
- • Clear metrics ownership (retention, conversion, revenue)
- • Stakeholder collaboration and decision support
- • Technical evidence (SQL, dashboards, pipelines)
- • Experimentation and measurement (A/B tests, cohorts)
Bullet examples
Example (impact)
Built funnel and cohort dashboards that identified a 12% drop-off in onboarding; partnered with PMs to ship fixes, improving activation by 3.4%.
Example (efficiency)
Automated weekly KPI reporting with dbt models and Looker, reducing manual reporting time from 4 hours to 30 minutes.