Data Analyst Resume Example and Template
Data analyst resumes need to showcase specific technical skills (SQL, Python, Tableau, Power BI) and concrete insights you delivered. Highlight projects where your analysis directly influenced business decisions or revenue.
Recruiters look for evidence of clean data work, visualization excellence, and the ability to translate business questions into analytical solutions. Show your problem-solving process, not just the tools.
A complete, realistic Data Analyst resume, laid out in an ATS-tested template. The candidate is illustrative: the name, employers and figures were written for this example and identify no real person, so you can copy its structure and wording freely.
Updated September 2026
Also searched as
Senior Data Analyst, Junior Data Analyst
Priya Sharma: Data Analyst
Seattle, WA, United States
Summary
Data Analyst with 6 years translating complex datasets into actionable insights for e-commerce and SaaS companies. Built self-service dashboards in Tableau serving 200+ stakeholders. Proficient in SQL, Python (pandas, NumPy), and statistical analysis. Drove $2.3M in optimizations through A/B testing and cohort analysis.
Work Experience
Senior Data Analyst, Cascade Analytics
Jul 2023 – Present. Analytics consulting firm, 95 employees
- Managed analytics for 8 enterprise clients, delivering 40+ dashboards in Tableau and PowerBI serving C-suite reporting and operational teams
- Designed and executed 15 A/B tests for e-commerce clients, improving conversion rates by average 18% and generating $3.1M incremental revenue
- Built data pipeline in SQL and Python to ingest, transform, and serve marketing attribution data to 6 clients monthly
- Mentored 2 junior analysts on SQL optimization and Tableau best practices, reducing query runtime by 65% for major client dashboards
Data Analyst, Vertex Commerce
Sep 2021 – Jun 2023. B2B e-commerce platform, 180 employees
- Owned analytics for customer acquisition and retention, running 24 A/B tests that improved CAC efficiency by 31% and increased LTV by 22%
- Created 12 self-service Tableau dashboards serving product, marketing, and finance teams, reducing weekly reporting time by 18 hours
- Performed cohort analysis on 500K+ customer records in SQL, identifying high-value segments and informing $800K strategic investment in retention
- Audited data quality for e-commerce database, fixing 8 data pipeline issues and establishing quarterly reconciliation process
Junior Data Analyst, Pinnacle Insights Group
Jun 2020 – Aug 2021. Market research and analytics firm, 45 employees
- Extracted and cleaned datasets using SQL and Python, supporting analysis for 12 concurrent client projects
- Built Tableau visualizations for client presentations, communicating complex trends in consumer behavior and market dynamics
- Assisted with statistical modeling and hypothesis testing, learning foundational skills in experimental design and significance testing
- Documented analysis methodology and findings in clear written reports, ensuring reproducibility and stakeholder understanding
Education
University of Washington
Bachelor of Science, Statistics. Sep 2016 – May 2020
Skills
SQL, Python (pandas, NumPy), Tableau, Power BI, Statistical analysis, A/B testing, Data visualization, ETL processes, Cohort analysis, Excel, Git, Experimental design
Languages
English
Certificates and Awards
- Google Analytics Certification, Google, 2020
- Tableau Desktop Specialist, Tableau, 2022
Why this look works
Data analysis values clarity and precision. The resume should feel clean and organized, with strong visual separation of technical skills and project outcomes. A modern, minimal design signals analytical rigor without unnecessary decoration.
Resume tips for this job
- Quantify the business impact of your analysis: revenue influenced, cost saved, conversion improvement percentage. Raw numbers are your credibility.
- List SQL and Python proficiency separately with examples. Knowing basic queries is different from writing complex window functions or data pipelines.
- Mention your BI tool expertise by name (Tableau, Power BI, Looker). Certification from the tool vendor is a significant plus.
- Include one surprising insight or finding from your analysis. This shows curiosity and depth beyond dashboard building.
Common questions
I'm strong in Excel but weak in SQL. Will that limit my options?
Yes, most data analyst roles now require SQL. Invest in learning SQL fundamentals through DataCamp or Mode Analytics before applying. Many junior roles only require basic SELECT queries, so start there.
Should I list every A/B test I ran or only the biggest wins?
List your total number of tests as a metric (like '24 A/B tests managed'), but call out only your 2-3 highest-impact wins in bullets. This shows volume and selectivity.