DDopeResume

Data Analyst resume example

Analyst resumes need to show two things at once: technical range (SQL, a BI tool, some statistics) and business consequence. This example pairs every analysis with the decision it changed and the money or time involved, and keeps the tool list honest and grouped.

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Ethan Park

Data Analyst — Product & Growth Analytics

ethan.park@email.com · +1 (917) 555-0147 · New York, NY · linkedin.com/in/ethanpark · github.com/ethanpark

Summary

Data analyst with 4 years in product and growth analytics for consumer subscription businesses. Built the experimentation readouts that guided 60+ A/B tests, found a checkout bug worth $1.1M a year, and cut weekly reporting time by 70% with dbt models and Looker. Fluent in SQL and Python; comfortable presenting to executives.

Experience

Data Analyst, Growth — Meridian Media, New York, NY

Sep 2022 – Present

  • Own experimentation analysis for the growth team: designed and read out 60+ A/B tests, including the paywall redesign that lifted trial conversion 14%
  • Identified a checkout-flow bug affecting 3% of mobile sessions through funnel analysis; the fix recovered an estimated $1.1M in annual revenue
  • Built 18 dbt models and the Looker growth dashboard used by 40 people weekly, cutting recurring reporting time by 70%
  • Present monthly growth reviews to the VP Product and CFO with clear recommendations; 8 of 11 recommendations in 2025 were adopted

Junior Data Analyst — Harbor Fitness, Jersey City, NJ

Jul 2021 – Aug 2022

  • Built the member-churn model in Python (logistic regression) that flagged at-risk members with 78% precision; retention campaigns on the flagged group cut churn 9%
  • Automated the weekly KPI pack in SQL and Google Sheets, replacing 6 hours of manual work

Education

B.S. Statistics, Rutgers University, New Brunswick, NJ · 2017 – 2021 · GPA 3.8

Skills

Analysis: SQL (advanced), Python (pandas, statsmodels), A/B testing, Funnel & cohort analysis, Forecasting, Data modeling

Tools: Looker, dbt, BigQuery, Snowflake, Amplitude, Excel

Projects

Subscription churn benchmark (2025) — Public analysis of churn patterns across 12 consumer subscription categories. Cited by two industry newsletters; 9K readers

Why this resume works

  • Each bullet names the analysis, the decision it informed and the outcome: a bug found and its value, a test and its lift, a model and its precision.
  • Adoption signals (dashboard used by 40 people, 8 of 11 recommendations adopted) show influence, which separates analysts from report generators.
  • The tool list is short and grouped; SQL is marked "advanced" rather than listing every database ever touched.
  • A minimal design keeps the focus on the numbers and fits on one page with room to breathe.

Skills to include on a data analyst resume

SQL · Python or R · Excel · Tableau, Looker or Power BI · A/B testing · Statistics · Data modeling (dbt) · Dashboards and reporting · Data visualization · Stakeholder communication

Templates that suit this role

Questions

Do I need a portfolio as a data analyst?
It helps at the junior level. One or two public analyses with a clear question, method and finding, linked from the header, are worth more than course certificates.
How do I show impact if I only produce reports?
Track what happened after the report: a decision made, a metric moved, hours saved, a dashboard adopted. Ask stakeholders; they usually know.
Should I list statistics coursework?
Only for entry-level roles or unusual methods (causal inference, forecasting). Otherwise the degree line covers it.

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