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Engineering & Data

Data Analyst resume example & template

A data analyst resume that proves impact, not just tooling. Each bullet connects an analysis to a decision and a dollar figure, and the compact template fits a dense skill set on a single, ATS-safe page.

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  • Every project ties a metric or model to a business decision and outcome.
  • SQL, Python, and BI tools grouped so keyword filters catch them instantly.
  • A compact, monochrome layout that maximizes content per page.
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Priya Nair
Data Analyst · SQL, Python & Experimentation
Seattle, WA(206) 555-0173priya.nair@email.comlinkedin.com/in/priyanair

Summary

Data analyst with 5 years turning messy data into decisions across growth and operations. Fluent in SQL and Python, fast with dashboards, and trusted to design and read experiments end to end. Pairs rigorous analysis with clear storytelling that moves stakeholders to act.

Experience

Data Analyst II · ZillowApr 2021 – Present
Seattle, WA
  • Built the self-serve funnel dashboard used weekly by 40+ PMs, cutting ad-hoc requests 50%.
  • Designed and analyzed 30+ A/B tests; one onboarding change lifted activation 11%.
  • Modeled churn drivers in Python, informing a retention play that saved an est. $3.4M ARR.
  • Built the marketing-attribution model that reallocated $1.2M of spend toward higher-ROI channels.
Business Analyst · RedfinJan 2019 – Mar 2021
Seattle, WA
  • Automated weekly KPI reporting in SQL + Looker, saving the ops team ~10 hours/week.
  • Segmented 2M listings to retarget high-intent buyers, raising tour bookings 8%.
  • Partnered with finance on a forecasting model that tightened headcount planning accuracy 15%.
  • Built self-serve Tableau workbooks that let regional managers answer their own questions.
Data Analyst Intern · NordstromJun 2018 – Dec 2018
Seattle, WA
  • Cleaned and joined 5+ sales tables to power a weekly merchandising scorecard.
  • Found a returns-pattern insight that informed a packaging change, cutting damage claims 9%.

Education

B.S. Statistics, Minor in Economics · University of WashingtonDec 2018

Skills

Querying: SQL, dbt, BigQuery, Snowflake, Airflow
Analysis: Python (pandas), A/B testing, Regression, Forecasting, Statistics
BI: Looker, Tableau, Power BI, Excel, Mode

Projects

Self-serve experimentation framework
Standardized A/B test design and readouts in dbt + Looker, cutting analyst time per test by half.
Churn-propensity model
Python model scoring weekly churn risk; surfaced the segments behind a retention play worth ~$3.4M ARR.

Certifications

Google Data Analytics Professional Certificate · Tableau Desktop Specialist

How to write a data analyst resume

What hiring teams in this field actually screen for, and the terms that get matched.

What analytics hiring managers screen for

Analyst screens come down to two questions: can you get the data yourself, and can you change a decision with it. Show SQL depth explicitly rather than implying it, and pair every analysis with the action it triggered. Building a churn model is a weaker claim than building a churn model that redirected retention spend and cut monthly churn from 4.1% to 2.8%.

Terms and tooling that get matched

SQL is the single most filtered term in this field, so it should appear in context rather than as a lone chip in a skills list. Add the warehouse (Snowflake, BigQuery, Redshift), the BI layer (Tableau, Power BI, Looker) and the languages (Python, pandas, R, dbt). Statistical vocabulary such as A/B testing, cohort analysis, regression and forecasting maps to more senior postings.

Common mistakes on analytics resumes

Listing tools without outcomes is the most common failure. Analysts also tend to describe the deliverable, a dashboard or a report, rather than the decision it enabled. Do not overstate machine-learning experience if your day to day is reporting, because a technical screen will find the gap within minutes.

Data Analyst resume FAQ

Quick answers before you start writing.

What should a data analyst resume include?

A strong data analyst resume opens with a concise professional summary, then work experience written as quantified, results-first bullets, followed by education, a skills section, and any certifications. The example above shows each section in order.

What skills should a data analyst resume highlight?

Lead with the skills the job posting asks for. For a data analyst, recruiters and ATS filters commonly look for SQL, dbt, BigQuery, Snowflake, Airflow, and Python (pandas). Group them so they are easy to scan.

Is this data analyst resume template ATS-friendly?

Yes. It uses a single-column structure, standard section headings, real text (no text trapped in images), and no tables or graphics that confuse applicant-tracking systems, so it parses cleanly while still looking polished.

How long should a data analyst resume be?

One page is ideal for most data analysts. Use two pages only if you have ten or more years of directly relevant experience, then tune the text size and margins so it stays clean.

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