Data Analyst Resume: Examples & Guide (2026)

A data analyst resume needs to prove two things fast: you can wrangle and analyze data with the right tools, and your analysis changed a business decision. Listing SQL and Tableau is table stakes, the impact is what gets you hired.

This guide covers what hiring teams look for, how to structure each section, the skills and keywords that pass the ATS, and a full data analyst resume example you can adapt. If the role is database-focused, see our database analyst resume guide instead, or the data scientist resume guide for machine-learning roles.

What hiring teams look for

• Core tooling: SQL plus a BI tool and often Python or R.
• Analysis depth: cohorts, A/B tests, forecasting, segmentation.
• Business impact: a decision, dollar amount, or metric you moved.
• Communication: turning analysis into recommendations stakeholders use.

Data analyst resume format and structure

Use a reverse-chronological format and put your stack and a portfolio link near the top, a working GitHub or dashboard link is a strong signal for analyst roles. Section order:

• Header with title, location, email, GitHub/portfolio, LinkedIn.
• Summary: domain, core stack, and a headline result.
• Technical skills grouped by Languages, BI/Viz, Databases, Stats.
• Experience with impact-focused bullets.
• Projects or a portfolio of dashboards/analyses with links.
• Education and certifications.

Data analyst resume summary examples

Lead with your stack and a result an analysis drove. Three examples you can adapt, see more in our resume summary examples guide:

Product analytics: "Data analyst with 5 years turning SQL and Python analysis into product decisions. Built a retention dashboard that surfaced a churn driver worth $300K in saved ARR."

Marketing analytics: "Analyst skilled in SQL, Tableau, and A/B testing. Ran experiments across 80k users that lifted conversion 9% and reshaped a $1.2M marketing budget."

Entry-level / recent graduate: "Statistics graduate skilled in SQL, Python, and Tableau, with a public GitHub portfolio. Built a churn-prediction model adopted by 3 teams during a capstone project."

Skills and keywords to include

Mirror the keywords from the job posting so your resume passes the ATS. The terms recruiters and screening software look for most:

• Languages: SQL, Python, R.
• BI & viz: Tableau, Power BI, Looker, dbt.
• Data: data modeling, ETL, warehousing (Snowflake, BigQuery, Redshift).
• Analysis: A/B testing, regression, forecasting, cohort and funnel analysis.

Data analyst resume bullet examples

Every bullet should tie an analysis to a business result. Compare weak duty-statements with strong, quantified versions:

Weak: "Built dashboards in Tableau for the team."

Strong: "Built a Tableau retention dashboard adopted by 5 product teams, surfacing a churn driver that informed a fix worth $300K in saved ARR."

Weak: "Analyzed marketing data."

Strong: "Ran an A/B test in SQL/Python on 80k users, identifying a checkout change that lifted conversion 9%."

Weak: "Made weekly reports for stakeholders."

Strong: "Automated weekly reporting with dbt, cutting manual prep ~6 hours a week and freeing time for deeper analysis."

Full data analyst resume example

Marcus Lee - Data Analyst | Chicago, IL | (555) 770-3321 | marcus.lee@email.com | github.com/marcuslee | linkedin.com/in/marcuslee

Summary: Data analyst with 5 years turning SQL and Python analysis into decisions. Built dashboards and experiments that moved retention and conversion across product and marketing teams.

Experience - Data Analyst, Brightline Commerce (2021–Present): Partner with product and marketing on analytics and experimentation.

• Built a Tableau retention dashboard adopted by 5 product teams, surfacing a churn driver worth $300K in saved ARR.
• Ran an A/B test in SQL/Python on 80k users, identifying a checkout change that lifted conversion 9%.
• Automated weekly reporting with dbt, cutting manual prep ~6 hours a week.

Experience - Junior Data Analyst, Cedar Analytics (2019–2021): Supported marketing and finance reporting and analysis.

• Modeled customer cohorts that reshaped a $1.2M marketing budget allocation.
• Cut dashboard load time 40% by optimizing SQL queries.

Technical Skills: SQL · Python · R · Tableau · Power BI · Looker · dbt · Snowflake · BigQuery · A/B testing · regression · forecasting · cohort & funnel analysis

Education & Certifications: B.S. Statistics, University of Illinois · Google Data Analytics Certificate

Common mistakes to avoid

• Listing tools with no evidence of what you did with them.
• No business outcome attached to the analysis.
• Skipping SQL specifics when it is the core requirement.
• A portfolio link that is broken or empty.

Quick checklist

• SQL and your BI tool visible in the top third.
• Every key bullet ties analysis to a business result.
• Keywords match the posting (tools and methods).
• Portfolio or GitHub link works.
• One page for most analysts.

Ready to build yours? Browse more resume examples, start from a free Applygrid resume template, keep it ATS-friendly, and pair it with a tailored letter from our AI cover letter generator.