Data analyst resume (CV): examples, bullets and keywords
A data analyst resume should show three things in every bullet: the tool (SQL first), the scale of the data, and the decision or result your analysis led to. Lead with your strongest analysis and its outcome, name the tools exactly as the job post does, and keep it to one page with a link to a portfolio.
What the recruiter checks first
For Data Analyst roles, these decide whether you get a call.
- 01SQL, Python or R, and a BI tool: in five analyst posts we opened, all three were in every post (Tableau in four). Excel was in both Indian posts.
- 02Scale: rows, users, regions, or how many people used your dashboard. “2.1M order rows for 40 managers” reads as real work.
- 03A decision your analysis changed, with a number: a fix shipped, a cost found, hours of manual reporting removed.
- 04Proof you can show: a GitHub repo of queries or a Tableau Public dashboard, especially for freshers.
Recruiters spend about 7.4 seconds on the first skim, and simple one-column layouts with clear headings held attention best (Ladders eye-tracking study, 2018).
Format and section order
One page for freshers and anyone under 8 years of experience. Two pages only for senior analysts, and only if every bullet still shows a result.
Section order
- 1Name and contact (city, email, LinkedIn, GitHub or Tableau Public link)
- 2Two-line summary with your best analysis and its result
- 3Experience (most recent first; each bullet: result, method, tool, scale)
- 4Projects (essential for freshers and switchers: public-data analyses with links)
- 5Skills (grouped: SQL and databases, Excel and BI, Python and statistics)
- 6Education (with marks for Indian campus and early-career roles), certificates in one line
In India “CV” and “resume” mean the same document. Campus drives and services firms (Deloitte, EY, ZS, Mu Sigma) expect the one-page table format with marks, co-curriculars and positions of responsibility, so our Word template uses it. Leave out the photo, date of birth, gender and marital status. Do not put CTC on the CV; recruiters ask for current CTC and notice period separately.
US recruiters expect one page in a simple layout with no photo or personal details. Lead with tools and outcomes; a link to a portfolio dashboard is common and welcome.
Profile summary examples
Two lines at the top. Lead with your strongest result for this role.
Final-year B.Com student moving into data analysis. Built a Power BI dashboard on 1.2M public delivery orders and a SQL analysis of repeat orders by wait time (GitHub linked). Comfortable with SQL window functions, Excel pivots and pandas.
Data analyst with 3 years in e-commerce. Owns the weekly business review numbers for 40 regional managers; replaced a 6-hour Excel pack with a Power BI dashboard on 2.1M rows. Found the delivery-delay effect behind a 9% fall in repeat orders.
Senior data analyst for [business unit], running metric definitions and experiment readouts for [N] teams. Analyses led to [decision] worth [amount or metric change]. Mentors [N] analysts and owns the team’s SQL style guide.
Data Analyst resume bullet bank
Swap the [brackets] for your own numbers. Each bullet: verb, what you did, measurable result.
SQL and root cause
- Found that [segment] drove [X]% of a drop in [metric] using SQL cohort analysis on [N] rows; the fix recovered it in [N] weeks.
- Wrote the SQL behind [N] core metrics and documented their definitions; reporting disputes between teams stopped.
- Cut a daily query from [X] minutes to [Y] by rewriting joins and adding a date filter on [table].
Dashboards and reporting
- Built a [Power BI / Tableau] dashboard on [N] rows for [N] users, replacing a weekly Excel pack; reporting time fell from [X] hours to [Y].
- Set up row-level security so [N] regional managers see only their region in one shared report.
- Automated [report] with [SQL / Python / Power Query], saving [N] hours a week for [team].
Experiments and statistics
- Analysed a [N]-week A/B test of [change] ([N] users per arm): [metric] rose [X] points with no change in [guardrail]; the team shipped it.
- Designed the sample size and success metric for [N] experiments with the product team.
- Built a [forecast / regression] for [metric] with [error] on held-out weeks, used for [planning decision].
Data quality and Python
- Cleaned and reconciled [N] rows of [data] in pandas and SQL, found [amount] of [errors or duplicates], and set up a monthly check.
- Merged [N] source systems into one customer table with a match rate of [X]%.
- Drafted queries with [Copilot / Gemini / ChatGPT] and validated each against [trusted total] before publishing.
Before and after
The same experience, rewritten so a recruiter sees the result.
Created dashboards in Power BI.
Built a Power BI sales dashboard on 2.1M order rows for 40 regional managers, replacing a weekly Excel pack; reporting time fell from 6 hours a week to 30 minutes.
Why it works: Adds the scale, the users and the time saved. “Created dashboards” could describe anyone.
Good knowledge of SQL and Excel.
Wrote SQL cohort queries that showed repeat orders fell 9% for customers who waited over 45 minutes; the ops team added a delay coupon and repeat rate recovered in 4 weeks.
Why it works: Skills claims are cheap. This shows SQL in use and the decision it changed.
Did A/B testing analysis.
Analysed a 2-week checkout A/B test (52K users per arm): conversion rose 1.8 points with no change in refunds, so the team shipped the new flow.
Why it works: Names the sample, the primary metric, the guardrail and the decision.
Data Analyst resume keywords
Taken from real job posts. Use the ones you can prove, inside bullets, not as a list.
Paste your resume text. It stays in your browser; nothing is uploaded.
No experience yet? Build proof
Each of these can become a line on your resume and a story in the interview.
A root-cause analysis on public data
Take an e-commerce or food-delivery dataset, ask one business question (why did repeat orders fall in one city?), answer it in SQL and keep the queries in a GitHub repo with a short README.
Proves: You can do the SQL round and the case round in one piece of work.
One dashboard page that makes a point
Build a single Power BI or Tableau Public page with three charts, each titled with its finding, and a one-line recommendation.
Proves: You can choose charts, cut clutter and lead with the answer, which interviewers test directly.
An A/B test readout
Use a public A/B test dataset, state the hypothesis and guardrail, run the test in Python or a spreadsheet, and write a ship / do-not-ship note.
Proves: You understand experiments, which product-company loops ask about.
Free Data Analyst resume template (Word) with a sample
One Word file in the one-page table format that Indian recruiters, placement cells and founders know, filled with a made-up example for this role. Replace every line with your own.
Education with marks, experience with a label beside every bullet, co-curriculars, extra-curriculars, positions of responsibility and skills. One page.
Opens in Microsoft Word, Google Docs and LibreOffice. Everything is real text (no text boxes or images), so applicant tracking systems can read it. We left out photo, age, gender and date of birth on purpose: recruiters do not need them.
SAMPLE: every name, company, college and number is made up. Replace each line with your own.
Ishita Rao | ishita@example.com | +91 98765 XXXXX | github.com/example | Bengaluru
Data Analyst, e-commerce reporting and root cause
| Educational Background | |||
| College / Board | Marks | Achievement | |
| B.Com (Business Analytics) | Deccan College of Commerce (fictional) | 8.4 / 10 | Statistics elective topper |
| Class XII | Karnataka State Board | 90.2% | |
| Class X | CBSE | 91.8% | |
| Professional Experience | |
| Kirana CartData Analyst(2023 – present) | |
| Dashboard | • Built a Power BI sales dashboard on 2.1M order rows for 40 regional managers; weekly reporting time fell from 6 hours to 30 minutes. |
| Root cause | • Wrote SQL cohort queries showing repeat orders fell 9% after waits over 45 minutes; a delay coupon recovered repeat rate in 4 weeks. |
| Experiment | • Analysed a 2-week checkout A/B test (52K users per arm): conversion up 1.8 points with no change in refunds; shipped to all users. |
| Access | • Set up row-level security so each regional manager sees only their region in one shared report. |
| Coastline LogisticsMIS Analyst(2022 – 2023) | |
| Reconciliation | • Reconciled 180K rows of vendor invoices in Excel and SQL and found ₹14L of duplicate payments; finance now runs the check monthly. |
| Automation | • Automated the daily shipment report with Power Query, saving 5 hours a week. |
| Coastline LogisticsAnalytics Intern(May '21 – Jul '21) | |
| Reporting | • Built an Excel pivot pack on 60K shipments that the ops lead used in the weekly review |
| Co-curricular and Projects | ||
| Project | • Food delivery root cause: SQL on 1.2M public orders, repeat rate by wait time; GitHub + Tableau Public | 2025 |
| Course | • SQL window functions and Power BI (PL-300 syllabus); 60 timed SQL questions | 2024 |
| Case comp. | • Finalist, inter-college analytics case competition on retail sales data | 2021 |
| Extra-Curricular Activities | ||
| Teaching | • Run a free weekend SQL clinic for 25 juniors each semester | 2024 |
| Volunteering | • Built the donor tracker for a city blood-donation drive (1,100 donors) | 2021 |
| Sport | • College chess team; state inter-university quarter-finalist | 2020 |
| Positions of Responsibility | ||
| Data club | • Secretary, college data club: 14 workshops, 220 members | 2020–21 |
| Fest | • Finance head, college fest: tracked a ₹6L budget in a shared sheet | 2019–20 |
| Skills and Tools | ||
| Skills | SQL (window functions, CTEs) · Power BI (DAX, data modelling, RLS) · Excel (pivots, XLOOKUP, Power Query) · Python (pandas) · A/B test analysis · Query drafts with Copilot, checked by hand | |
Cover letter and LinkedIn
Short and specific beats long and generic.
Hi [Hiring manager name], I am applying for the Data Analyst role on [team]. At Kirana Cart I own the weekly business review numbers for 40 regional managers. I replaced a 6-hour Excel pack with a Power BI dashboard on 2.1M rows, and my SQL cohort analysis traced a 9% fall in repeat orders to delivery delays, which the ops team fixed within a month. I looked at public data on [their product or market] and made one chart on [finding] (link). I would like to do this kind of work on [team’s metric]. Could we find 15 minutes this week? [Your name]
Data Analyst | SQL, Power BI, Python | E-commerce metrics, root cause and A/B tests
I turn business questions into numbers people act on. In e-commerce I built the Power BI dashboard 40 regional managers use each week, cut reporting time from 6 hours to 30 minutes, and traced a 9% fall in repeat orders to delivery delays. I write SQL every day, clean data in pandas, and use AI tools for first drafts that I check by hand. My public analyses are on GitHub.
Mistakes that get resumes rejected
- A long skills list with no evidenceFix: Put tools inside bullets: “SQL cohort analysis found…”, “a Power BI dashboard for 40 managers…”.
- No scaleFix: Add rows, users, regions or money: it is the quickest signal that the work was real.
- Results with no decisionFix: Say what the team did with your analysis: shipped, rolled back, changed a price, stopped a report.
- A two-column graphic CV with charts of your skill levelsFix: Use a plain one-page layout (the Indian table format for campus roles). Skill bars say nothing and can confuse parsers.
- Course certificates taking half the pageFix: One line for certificates. Projects with links prove more than course names.
Who to ask, what they should say, a sample letter and the email to send.
Keep going
Frequently asked questions
What should a data analyst put on a resume with no experience?
Two or three projects on real public data with links (a SQL repo, a dashboard), your marks, and any role where you owned a report. In India use the one-page table format; our free Word template follows it.
Which skills should a data analyst resume list?
In the five analyst posts we opened, SQL, Python or R, and a BI tool appeared in all five (Tableau in four), and Excel in both Indian posts. Lead with SQL, and name each tool inside a bullet as well as in the skills section.
Should I put certificates like Google Data Analytics or PL-300 on my CV?
Yes, on one line, if they match the post. PL-300 signals Power BI depth for services firms. A project with a link still counts for more than a certificate.
Is a CV different from a resume for data analyst jobs?
In India the two words mean the same one- to two-page document. In the US and Europe a CV can mean a longer academic record, but for analyst jobs both mean the short version.