◷ DATA ANALYST RESUME — 2026

Data Analyst
resume bullets that get callbacks.

Business outcomes you unlocked through analysis. SQL + a dashboard tool is table-stakes — show what you found.

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◷ SUMMARY STARTERS

Lead with this.

Data analyst with X years across [sector]. Owned reporting and analysis for [function — marketing/product/finance], surfacing [N] insights that drove [$ outcome].

Senior analyst specialised in [domain — growth, fraud, retention]. Built [model/dashboard/pipeline] that informed [business decision].

◆ BULLET LIBRARY · 9

9 quantified bullets.

Each one starts with an action verb and ends with a number. Copy them in and replace the metrics with your actual outcomes.

01Identified the top driver of week-2 churn via cohort analysis; insight informed a feature change that lifted retention 14% across 240k users.
02Built the company's growth dashboard (Looker, 62 metrics); became the default weekly readout for the leadership team within 3 months.
03Authored a fraud-detection SQL rules engine that flagged $1.1M in suspicious volume across Q3 with a 92% precision rate.
04Reduced marketing CAC report turnaround from 4 days to 20 minutes by building a self-serve dbt + Looker pipeline.
05Owned weekly executive-team data review; presented findings to CEO + 5-person leadership team every Monday.
06Built a propensity-to-churn model (logistic regression, 14 features) that powered a retention email program — recovered $480k ARR.
07Migrated 47 manual Excel reports to dbt + Snowflake; cut analyst toil ~28 hours/week across the team.
08Authored the 'how to analyze growth' internal playbook; adopted as onboarding material for new analyst hires.
09Collaborated with finance to redefine the unit-economics model; net effect was clearer visibility on a $4.2M cost line.