What does a good data analyst resume look like in 2026?

A strong 2026 data analyst resume is a single-column, ATS-readable document that leads each bullet with a business outcome (requests cut, activation lifted, revenue protected), names the exact stack from the job description, and groups skills clearly. One page for most analysts, with every line tied to a measurable result.

Should a data analyst resume include SQL and Python projects?

Yes — but framed by impact, not syntax. Instead of "wrote SQL queries," show "80 production SQL models feeding the executive KPI deck." For entry level, course or freelance projects count if you quantify the dataset size and the decision they informed.

How is a data analyst resume different from a data scientist resume?

Analyst resumes weight SQL, BI tools, and stakeholder storytelling; data scientist resumes weight ML, statistics, and model deployment. Read the job description first and foreground the matching half — the same projects can be framed either way depending on the role.

How do I tailor my data analyst resume to a job description?

Reorder bullets so the most relevant work leads, and surface the specific tools the JD names where they are true of you. ATS keyword matching is literal, so "Power BI" and "Tableau" are scored separately. Resuvia scores your resume against a JD and lists exactly which keywords you are missing.

Is this data analyst resume example ATS-friendly?

Yes. It uses a single-column layout, standard section headings, grouped skills, a machine-readable contact line, and quantified bullets — the structure ATS parsers read reliably. Avoid embedding charts as images or using multi-column layouts, which parsers frequently drop.

Data Analyst · resume example

Data Analyst resume example.

A strong data analyst resume pairs tools with outcomes — not "built dashboards" but "12 dashboards that cut ad-hoc requests 40%." Name your stack (SQL, Python, Tableau, dbt) where it is true, lead every bullet with a business result, and keep it single-column and ATS-readable. Below is a full sample plus how to build your own.

Score my resume free →Data Analyst optimizer guide

The sample

A full data analyst resume, top to bottom.

A realistic, ATS-friendly example you can model yours on. Names, companies, and numbers are illustrative — the structure and phrasing are what to copy.

Priya Nair

Data Analyst — SQL, Python, BI

Chicago, IL · priyanair.io · linkedin.com/in/priyanair · github.com/priyanair

Summary

Data analyst with 4 years turning messy data into decisions. Built self-serve BI that cut ad-hoc requests 40%, designed and read out 6 A/B tests, and owned the executive KPI pipeline. Fluent in SQL, Python (pandas), Tableau, and dbt, with a habit of tying every analysis to a dollar or percentage outcome.

Skills

QueryingSQL · dbt · BigQuery · Snowflake
AnalysisPython · pandas · NumPy · A/B testing · cohort analysis
VisualizationTableau · Power BI · Looker
PracticesExperiment design · Stakeholder reporting · Data modeling

Experience

Data Analyst — Meridian Retail
2022 — Present
Chicago, IL
- Built 12 self-serve Tableau dashboards used weekly by the marketing and merchandising teams, reducing ad-hoc data requests ~40%.
- Designed and analyzed 6 A/B tests on the onboarding flow; one shipped change drove a +12% activation lift on 80K monthly signups.
- Wrote and maintained ~80 production SQL models (Snowflake + dbt) feeding the executive KPI deck reviewed by the leadership team.
- Partnered with finance to build a cohort-retention model that reframed the renewal forecast, surfacing a $1.4M at-risk segment.
Junior Data Analyst — Lakeside Health Group
2020 — 2022
Remote
- Automated a weekly Excel report into a scheduled Python + SQL pipeline, reclaiming ~6 analyst hours/week.
- Cleaned and reconciled a 2M-row claims dataset, cutting reporting errors flagged by audit from 14 to 2 per quarter.

Education

B.S. Statistics — University of Illinois Urbana-Champaign
2016 — 2020
Coursework: regression, experimental design, database systems

Certifications

Google Data Analytics Professional Certificate · Tableau Desktop Specialist

This is an illustrative sample, not a real individual. Use the structure, ordering, and bullet phrasing as a model — fill in your own true experience and numbers.

Write your own

How to write a data analyst resume.

01
Lead with the decision, not the tool
"Built a Tableau dashboard" is a task; "12 dashboards that cut ad-hoc requests 40%" is an outcome. Open each bullet with the business result, then name how you got there.
02
Show the stack the JD asks for
If the posting says SQL, Python, and Power BI, surface those exact terms in your skills and bullets where they are genuinely true. Group skills (Querying, Analysis, Visualization) so a parser and a recruiter both scan them fast.
03
Quantify the analysis, not just the output
For A/B tests, name the count, the metric, and the result ("6 tests; +12% activation"). For pipelines, name the scale (rows, models, refresh cadence). Numbers are what get you scored.
04
Tailor BI vs data-science JDs
A pure-BI role weights Tableau/SQL/storytelling; a hybrid role weights Python/statistics. Reorder which bullets lead so the most JD-relevant work is first.
05
Tie at least one analysis to money
Revenue protected, cost saved, hours reclaimed, churn reduced — one dollar-or-percent business outcome separates an analyst resume from a report-runner resume.
06
Keep it single-column and ATS-readable
Standard headings, no multi-column layouts or charts-as-images that parsers garble. Export a true-text PDF, not a screenshot of a dashboard.

Keywords ATS scans for

Data Analyst ATS keywords.

Work the ones that are genuinely true of you into your bullets and skills — not a keyword-stuffed block. Paste your resume + a job description into Resuvia to see which of these you're missing.

Data AnalystSQLPythonpandasdbtBigQuerySnowflakeTableauPower BILookerA/B testingexperimentationcohort analysisdata modelingKPIdashboardsstakeholder reporting

Common questions

Data Analyst resume questions, answered.

What does a good data analyst resume look like in 2026?
A strong 2026 data analyst resume is a single-column, ATS-readable document that leads each bullet with a business outcome (requests cut, activation lifted, revenue protected), names the exact stack from the job description, and groups skills clearly. One page for most analysts, with every line tied to a measurable result.
Should a data analyst resume include SQL and Python projects?
Yes — but framed by impact, not syntax. Instead of "wrote SQL queries," show "80 production SQL models feeding the executive KPI deck." For entry level, course or freelance projects count if you quantify the dataset size and the decision they informed.
How is a data analyst resume different from a data scientist resume?
Analyst resumes weight SQL, BI tools, and stakeholder storytelling; data scientist resumes weight ML, statistics, and model deployment. Read the job description first and foreground the matching half — the same projects can be framed either way depending on the role.
How do I tailor my data analyst resume to a job description?
Reorder bullets so the most relevant work leads, and surface the specific tools the JD names where they are true of you. ATS keyword matching is literal, so "Power BI" and "Tableau" are scored separately. Resuvia scores your resume against a JD and lists exactly which keywords you are missing.
Is this data analyst resume example ATS-friendly?
Yes. It uses a single-column layout, standard section headings, grouped skills, a machine-readable contact line, and quantified bullets — the structure ATS parsers read reliably. Avoid embedding charts as images or using multi-column layouts, which parsers frequently drop.

More examples

Other resume examples.

Browse all resume examples →

Make yours land

Score your resume in thirty seconds.

Paste your resume + a job description. See the ATS match score and the keywords you're missing — free, no card. Pay only for the clean download.

Try Resuvia free →