Data Analyst Resume Example (2026)
A complete data analyst resume example. The hard part of an analytics resume is showing that the analysis changed something — this one names the decision behind each project. Open it in the editor, swap in your own numbers, and export a PDF.
Why this data analyst resume works
- Each bullet names the decision the analysis drove, not just the tool used
- SQL, Python and the BI tool appear in the skills line and again in context
- Numbers are business numbers — retention, cost, hours saved — not row counts
- Certifications sit near the bottom where recruiters expect them
- Plain section headings ("Experience", "Education") that every ATS recognises
Daniel Okonkwo — Data Analyst
daniel.okonkwo@email.com · +1 (312) 555-0192 · linkedin.com/in/danielokonkwo
Summary
- Data analyst with 4 years turning product and revenue data into decisions at subscription businesses. Built the churn model that redirected a $600K retention budget, and cut the finance team's monthly close from six days to two.
Experience
- Data Analyst — Cadence Software (Jan 2024 – Present)
- Built a churn propensity model in Python that identified the 12% of accounts driving 60% of lost revenue, redirecting a $600K retention budget
- Redesigned the executive revenue dashboard in Tableau, replacing 14 conflicting reports with one source finance and sales both sign off on
- Automated the monthly close pipeline with dbt and Snowflake, cutting it from 6 days to 2 and removing 30 hours of manual work per month
- Ran 22 pricing and onboarding A/B tests; the winning checkout variant lifted trial-to-paid conversion by 9%
- Junior Data Analyst — Meridian Retail Group (Aug 2022 – Dec 2023)
- Segmented 2.1M customers into eight behavioural cohorts, raising email campaign revenue per send by 24%
- Wrote the SQL library the analytics team still uses for cohort and retention queries, cutting ad-hoc request turnaround from 3 days to same day
- Forecast weekly demand across 40 stores within 6% error, reducing overstock write-offs by $180K in the first year
Projects
- Chicago transit reliability study (2024)
- Analysed 3 years of public transit data in Python; published findings on delay clustering that were cited in two local news pieces
Education
- B.S. Statistics, minor in Economics — University of Illinois Urbana-Champaign (2018 – 2022), GPA 3.7/4.0
Skills
- SQL, Python (pandas, scikit-learn), dbt, Snowflake, Tableau, Looker, Excel, A/B Testing, Cohort Analysis, Forecasting, Statistics
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