Model Data Analyst Resume — Full Example to Copy (2026)

Data Analyst Resume Examples

A strong data analyst resume leads with decisions, not tools: the metrics you moved, the dashboards teams adopted, and the experiments you read out. Keep it to one clean single-column page so Applicant Tracking Systems parse every field, name your SQL dialect and BI tool explicitly, and mirror the exact stack in the job description. Below is a complete, ATS-friendly data analyst resume example you can open in the free builder, plus the skills and keywords to include.

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Priya Nandakumar

Data Analyst

priya.nandakumar@email.com · (312) 555-0173 · Chicago, IL · github.com/priyanand

Experience

Data Analyst, Lakefront Retail GroupJul 2022 – Present

Chicago, IL

Identified $1.2M in underperforming ad spend via SQL cohort analysis, enabling a reallocation that lifted ROAS 28%.
Built 12 Power BI dashboards adopted by 45 stakeholders across marketing, finance, and operations.
Ran 25+ A/B tests on the checkout funnel, shipping variants that increased conversion 19%.
Automated weekly KPI reporting with dbt and Snowflake, cutting report prep from 6 hours to 30 minutes.

Business Operations Analyst, Northline LogisticsJun 2020 – Jun 2022

Chicago, IL

Reconciled shipment datasets exceeding 8M rows in SQL and Excel, reducing billing errors 40%.
Created a Tableau on-time-delivery dashboard used in weekly ops reviews across 4 regions.
Automated a manual Excel reconciliation with Power Query, saving the team ~5 hours per week.

Projects

Churn Radar — Subscription churn analysis and dashboard

Analyzed a 120K-row subscription dataset in Python and SQL to surface three high-risk churn segments.
Built an interactive Tableau dashboard translating the analysis into an at-a-glance retention view.

Skills

Analytics: SQL, Python, Excel, A/B testing, Statistics
BI & tools: Tableau, Power BI, Looker, dbt, Snowflake, BigQuery, Google Analytics 4, Git

Education

B.S. Statistics, University of Illinois Urbana-ChampaignAug 2016 – May 2020

Champaign, IL · 3.6 GPA

Why this example works

Lead with the BI tool the posting names — Tableau, Power BI, or Looker — and prove it in a bullet, not just the skills list.
Always specify your SQL dialect and depth (window functions, CTEs); "SQL" alone is weaker than "SQL (BigQuery, window functions)."
Quantify every bullet with a metric moved, dollars saved, hours cut, or stakeholders served — analysis without an outcome reads as a task list.
Match the job description's exact wording: write "Microsoft Excel" if the posting does, and "A/B testing" not "split testing," because ATS matching is literal.
Show business impact over tool usage: "identified $1.2M in reallocatable spend" beats "proficient in Tableau."

Skills to include

SQL (joins, window functions, CTEs)
Data cleaning & wrangling
Excel (pivot tables, Power Query, INDEX-MATCH)
Data visualization & dashboard design
A/B testing & experimentation
Descriptive & inferential statistics
SQL (PostgreSQL, BigQuery, Snowflake)
Microsoft Excel / Google Sheets
Tableau
Power BI
Looker
Python (Pandas, NumPy)

Common mistakes to avoid

Listing tools ("Excel, SQL, Tableau") with no bullet showing a decision they drove.
Describing duties ("responsible for reporting") instead of outcomes with numbers.
Writing "data visualization" but never naming the actual tool a recruiter searches for.
Using a two-column or heavily designed template that scrambles in ATS parsers.
Reporting vanity metrics (rows processed) instead of business impact (revenue, churn, hours saved).

Frequently asked questions

Do I need Python to get a data analyst job?

Not always — SQL, Excel, and a BI tool (Tableau or Power BI) are the non-negotiables, and many roles hire on those alone. Python helps for automation and larger datasets, so list it if you have it, but a sharp SQL-and-dashboard resume with quantified impact clears most ATS filters and screens.

How do I write a data analyst resume with no experience?

Lead with 2–3 portfolio projects that use real datasets and end in a decision or dashboard, and put them directly under your summary. Quantify them the way you would a job ("surfaced 3 at-risk segments in a 120K-row dataset"), add a Google or Power BI certificate under Education, and mirror the tools each posting names.

SQL, Excel, or Tableau — which matters most on a data analyst resume?

SQL is the most consistently required skill across postings, so make it prominent and specify the dialect. Excel and a BI tool (Tableau or Power BI) come next; name the specific features and dashboards you built. Match whichever the job description emphasizes, and prove each with a quantified bullet.

Should a data analyst resume be one page?

Yes for most analysts — one clean, single-column page an ATS parses field by field. Front-load your strongest quantified results and a relevant BI tool in the top third. Go to two pages only with roughly 8+ years or a substantial publication or leadership record.