Data Analyst resume example that passes the ATS (2026)

Updated November 5, 2026

Analyst screens match tools exactly (SQL, Python, Tableau, Power BI), and recruiters look for business decisions your analysis changed.

Sample Data Analyst resume

A fictional candidate at fictional companies, written in a simple one-column layout that applicant tracking systems read cleanly. Copy the structure; replace every detail with your own.

Megan Liu (fictional)

Data Analyst · SQL, Looker, Python

Summary

Data analyst with 4 years supporting sales, finance and product teams at a subscription business. Builds the dashboards people actually open and turns messy questions into clear recommendations.

Experience

Data Analyst, Brightpath Subscriptions (fictional)

2022 to present

Built a Looker dashboard used weekly by 40 managers, replacing 12 manual Excel reports.
Analyzed churn across 80,000 customers in SQL and Python; the findings drove a pricing change that cut churn 9%.
Designed and read out 15 A/B tests for the growth team, each with a clear go or no-go recommendation.

Junior Analyst, Northgate Retail (fictional)

2020 to 2022

Automated a daily ETL job in Python that saved the finance team 6 hours a week.
Cleaned and merged 3 store databases into one Snowflake table, fixing a 4% revenue reporting gap.
Answered about 30 ad hoc data requests a month from sales and operations.

Skills

SQL, Python, Excel, Looker, Tableau, Snowflake, A/B testing, data visualization, stakeholder reporting

Education

B.A. Economics, Riverside College (fictional)

How hiring managers screen a Data Analyst

Data analyst postings are full of tool names, and recruiters search for them literally. If the job says Power BI and your resume says “dashboards”, you may not appear. SQL is close to universal, so leaving it off is the most common reason a capable analyst gets missed.

The hiring manager reads for who used your work and what they did with it. A dashboard that 40 managers check every week, or an analysis that changed a price or a process, says more than a long list of reports. Data size helps too: rows, customers, or sources joined.

Communication is part of the screen. Bullets that mention who you presented to, or how a finding was acted on, show you can turn numbers into a decision. That is often what separates an analyst who gets an interview from one who only gets a skills test.

ATS keywords for a Data Analyst resume

Common in Data Analyst postings. Mirror the exact wording of the job you apply to, and only use a keyword when a real bullet backs it up.

Hard skills

data analysis
SQL queries
dashboards
data visualization
A/B testing
statistics
data modeling
ETL
data cleaning
stakeholder reporting

Tools and software

SQL
Excel
Python
Tableau
Power BI
Looker
Google Analytics
BigQuery
Snowflake
dbt

Job titles recruiters search for

Data Analyst
Business Intelligence Analyst
Reporting Analyst
Product Analyst
Marketing Analyst

How to adapt this sample to a real posting

Read the posting and mark its must-haves. For a Data Analyst, these are usually a few hard skills (such as data analysis and SQL queries) and one or two tools (such as SQL or Excel).
Use the job title from the posting in your headline if it honestly describes your work. Recruiters often search by titles like Data Analyst or Business Intelligence Analyst.
Write a two-line summary naming your area, your years of experience and one result. Keep it specific to this kind of role.
For each must-have you really have, make sure one bullet shows where you used it and what changed. Leave out anything you could not discuss in an interview.
Save it as a one-column Word file or text-based PDF, then check your keyword match against the posting before you apply.

More example bullets to adapt

The formula: an action, what you did, and a number. Replace every detail with your own results.

Built a Power BI sales forecast that cut the gap between forecast and actuals from 15% to 6%.
Found a tracking bug in Google Analytics that had undercounted signups by 11% for 3 months.
Wrote dbt models for 20 core metrics so every team used the same definitions.
Presented a monthly retention review to the leadership team of 8.

Mistakes that get it filtered out

Listing tools with no example of the decision they supported.
Writing “analyzed data” without the data size or the outcome.
Forgetting the stakeholders you reported to.

Interview questions to prepare

Tell me about an analysis that changed a decision.
How would you explain a statistically significant result to a non-technical manager?
Write a query to find the top 3 products by revenue per region.
What do you do when two data sources disagree?

Prepare each one as a STAR story: how the STAR method works.

Frequently asked questions

What skills should be on a data analyst resume?

SQL, Excel and one visualization tool (Tableau, Power BI or Looker) cover most postings. Add Python or R if you use them, and match the exact tool names in the job you apply to.

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

Use projects with real public data, and describe them like work: the question, the data size, the tools and what you found. Coursework and certificates help, but a finished project helps more.

Should I include a portfolio link?

Yes, if it shows two or three finished analyses with a clear question and answer. Make sure the link is clickable in your PDF.

How do I show impact as an analyst?

Name the decision your work informed and its result: a price change, a process fix, time saved or a metric that moved. If you only supported the decision, say so honestly.

Is Python required for data analyst jobs?

Not always. Many analyst roles need only SQL and a visualization tool, but Python shows up more each year. List it only if you could write a short script in an interview.

Tailor your Data Analyst resume to a real job.

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