Data

Data Analyst Resume Example (2026)

Data analyst resumes win on three things: SQL fluency, business impact you can quantify (revenue, retention, cost), and the BI tools the team actually uses. The example below shows each, with bullets that frame analysis as outcomes, not activities.

Check my data analyst resume See Data Analyst keywords

Sample resume

Data Analyst resume — full example

One-column, ATS-friendly layout. Names and numbers are illustrative.

Priya Sharma

Austin, TX · priya.sharma@example.com · linkedin.com/in/priyasharma

Senior Data Analyst

Professional Summary

Senior data analyst with 5+ years partnering with growth, product, and finance teams. Owned the experimentation pipeline at a 200-person SaaS company; my analyses informed pricing decisions worth $4.8M in net new ARR over 18 months. Strongest in SQL, dbt, and causal inference.

Technical Skills

Querying & Modeling: SQL (Snowflake, BigQuery, Postgres), dbt, LookML, Window functions
Languages: Python (pandas, numpy, scikit-learn), R
Visualization: Looker, Tableau, Mode, Hex, Power BI
Experimentation: A/B testing, Causal inference, Synthetic controls, Hypothesis testing
Workflow: Git, Airflow, Sigma, Notion, Linear

Professional Experience

Senior Data Analyst — Glasshouse Analytics

Austin, TX · Jan 2023 — Present

Designed and ran a pricing experiment across 12,000 mid-market accounts; the recommended packaging change drove $4.8M in net new ARR over 18 months at a +12pp gross margin.
Built the company's first attribution model in dbt (last-touch + multi-touch SHAP); reallocated $700K of paid spend, raising blended CAC efficiency by 22%.
Authored the analytics style guide and PR review process now used by 7 analysts; reduced dashboard-related Slack questions by ~60% per the help-channel triage report.
Mentored 3 junior analysts; one promoted to mid-level within 11 months, well ahead of the 18-month median.

Data Analyst — Northstar Lending

Remote · Jul 2020 — Dec 2022

Cut weekly executive reporting from 9 manual spreadsheets to a single Looker dashboard sourced from dbt; saved ~6 finance-team hours/week and eliminated three recurring reconciliation errors.
Built the company's first loan-default early-warning model in Python (gradient boosted trees, ROC 0.87); flagged 412 at-risk loans in the first quarter, preventing an estimated $1.1M in losses.
Migrated 80+ legacy Tableau dashboards to Looker; deprecated 31 unused ones in the process and reduced license spend by $24K/year.

Education

B.S. Statistics — University of Texas at Austin · 2020

Certifications

• Google Data Analytics Professional Certificate (2021)

Why this resume works

SQL flavors (Snowflake, BigQuery, Postgres) are listed explicitly — JDs typically specify one, and the keyword engine matches by exact warehouse name.
Every bullet has a dollar value, percentage, or count. Data analyst hiring managers screen out resumes that describe activity without outcome.
BI tools are categorized — easier for both a human and ATS to confirm coverage of the stack the team uses.
The summary names the partner functions (growth, product, finance) the analyst worked with — exactly the cross-functional collaboration signal the soft-skills layer is looking for.

Common mistakes

Listing 'data visualization' as a skill instead of the actual tool. ATSes don't infer that 'data viz' means Tableau — name the tool.
Describing dashboards without naming the decision they enabled. 'Built dashboard for marketing team' is buzzword-tier; 'analyses informed a pricing change worth $4.8M' is the version that scores.
Putting certifications above experience. They go at the bottom unless you have no work experience yet.
Omitting SQL flavor and dbt experience. These two keywords appear in ~70% of senior analyst JDs and are easy to add when you have them.

ATS keywords

Data Analyst resume keywords ATS systems scan for

A condensed view. For the full categorized list, see the Data Analyst keywords page.

Hard skills

SQL
Data analysis
Data modeling
ETL
ELT
Statistical analysis
Hypothesis testing
A/B testing
Causal inference
Regression analysis
Time series analysis
Cohort analysis

Tools

Snowflake
BigQuery
Redshift
PostgreSQL
MySQL
dbt
Airflow
Looker
LookML
Tableau
Power BI
Mode

Action verbs

Analyzed
Designed
Built
Modeled
Forecasted
Quantified
Identified
Recommended
Optimized
Automated
Reduced
Improved

Soft skills

Stakeholder management
Cross-functional collaboration
Storytelling
Executive communication
Mentorship
Documentation
Project scoping
Requirements gathering

See the full Data Analyst keyword list

Questions

Data Analyst resume — frequently asked

Do I need a degree in statistics or computer science?+

No. Demonstrable SQL + Python + one BI tool, plus quantified business outcomes, will beat a CS degree with thin experience. List the certifications you have; recruiters care more about whether you can ship.

How do I describe analysis when I can't share the actual numbers?+

Use relative terms: '+18% conversion lift', '$1M+ retained revenue', 'top 3 driver of growth'. Order-of-magnitude framing is fine and beats vague impact claims.

Should I include SQL queries or code samples?+

No, not on the resume itself. Link to a GitHub repo or a portfolio site with a writeup of one project end to end. Recruiters who want to see code will follow the link.

How important is dbt for data analyst roles in 2026?+

Significant. About 70% of mid-market and enterprise analyst JDs now name dbt explicitly. If you've used it for even one project, list it. If not, complete the free dbt fundamentals course and add a small project.

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