Data Analyst Resume Example (2026)
By the TheGreatCV editorial team · Last updated 27 August 2026 · 7 min read
Short answer: a strong data analyst resume leads with SQL (the one non-negotiable skill), backed by Python and a visualization tool (Power BI or Tableau), a projects/portfolio section with a GitHub link, and results measured in time saved, accuracy improved, or revenue impact. Full example below.
71%
(cite index="43-1">of data analyst job postings require SQL — well ahead of Python at 46% — making it the one skill your resume should never bury.
What recruiters look for
- (cite index="43-1">SQL first, then Python; communication actually outranks Python, appearing in 55% of postings, because employers want analysts who can explain a chart to someone who will never write a query.
- (cite index="43-1">Analysts who "show their work" — 36% of interview-stage resumes link a GitHub profile and 52% include a projects section.
- (cite index="49-1">Measurable results such as time saved, reporting accuracy improved, revenue increased, or costs reduced — not just a list of tools.
- (cite index="50-1">The specific tool named in the job description, not a generic "data visualization" — if the job emphasises Tableau, your bullets should show Tableau work in depth.
Complete data analyst resume example
A Data Analyst profile with 3.5 years' experience — open it in the builder to edit every field.
Rohan Verma
Data Analyst
+91 98xxx xx463 | rohan.verma@email.com | Gurugram, India | github.com/rohanverma
Professional Summary
Data Analyst with 3.5 years of experience turning raw data into decisions using SQL, Python and Power BI. Built dashboards that cut manual reporting effort by 50% and surfaced insights that lifted campaign ROI by 18%.
Skills
Languages & Query: SQL, Python (Pandas, NumPy), Excel (Power Query, Pivot Tables)
Visualization: Power BI, Tableau, Google Data Studio
Methods: A/B Testing, Cohort Analysis, Dashboard Development, Data Cleaning
Work Experience
Data Analyst — Vertex Retail AnalyticsJul 2022 – Present
Gurugram
- Built and automated 12 Power BI dashboards, cutting manual reporting effort by 50%
- Analysed campaign performance data, surfacing insights that lifted marketing ROI by 18%
- Wrote SQL queries against a 40M-row warehouse to support weekly leadership reporting
- Partnered with product and marketing teams to translate business questions into data models
Junior Data Analyst — Vertex Retail AnalyticsJun 2021 – Jun 2022
Gurugram
- Cleaned and validated datasets for 5 recurring reports, reducing errors by 30%
- Supported A/B tests on the checkout flow, contributing to a 6% conversion lift
Projects
E-commerce Sales Dashboard (Portfolio)SQL, Python, Tableau
- Built an end-to-end pipeline analysing 2 years of e-commerce sales data
- Published an interactive Tableau dashboard highlighting seasonal demand patterns
Education
B.Sc. Statistics — University of Delhi · 78%2018 – 2021
Certifications
- Google Data Analytics Professional Certificate — 2023
- Microsoft Power BI Data Analyst (PL-300) — 2024
Languages
English, Hindi
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Skills to include, by category
Languages & QuerySQLPythonRExcel (Power Query)
VisualizationPower BITableauLookerGoogle Data Studio
MethodsA/B TestingCohort AnalysisData CleaningDashboard Development
(cite index="48-1">The skills section should be a scannable list organized by category, not a wall of comma-separated keywords — ATS parsers look for exact tool names, and recruiters look for recognizable stacks.
Certifications worth listing
(cite index="47-1">Certifications such as the Google Data Analytics Certificate or Microsoft's PL-300 help candidates stand out, especially when paired with a portfolio of real analysis projects.
Common mistakes to avoid:
- Burying SQL below Python or visualization tools
- Listing "data visualization" instead of naming Power BI or Tableau specifically
- No projects section or GitHub link, especially as a fresher
- Heavy graphics, unusual fonts or tables that break ATS parsing
Fresher or switching into data? (cite index="49-1">Add relevant projects, dashboards, GitHub links or portfolio work — a strong personal project can substitute for full-time experience early on.
Frequently asked questions
What should a data analyst resume include?
SQL first, Python, a visualization tool, a projects/portfolio section with GitHub, and measurable results.
SQL or Python — which matters more?
SQL. It's the one non-negotiable skill and appears in far more job postings than Python.
Should I include a GitHub link?
Yes, especially as a fresher or career switcher — it's common among interview-stage resumes.
How many skills should I list?
Group them by category (query, visualization, methods) rather than a long flat list; relevance beats quantity.
How long should it be?
Two pages or under, roughly 1.5 pages with about 4 work entries is typical.
Your next step
Open the example above, swap in your own stack, projects and results, then download a clean PDF.
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About this guide: written by the TheGreatCV team, who build free resume tools used by analysts worldwide. The example is illustrative — replace it with your own real experience and numbers.