1–3 years of experience
Data analyst resume example
A data analyst resume has to prove two things quickly: that you can get the data (SQL, Excel, Python) and that your analysis changed a decision. This example puts the tools up front and ties every bullet to a business result.
Sample resume: the person, employers and figures are illustrative.
Data Analyst resume summary examples
Fresher
Statistics graduate skilled in SQL, Excel and Power BI. Built a rental-price analysis of 25,000 listings in Python and a sales dashboard during an internship that the client now uses weekly.
1–3 years
Data analyst with 2 years in retail analytics. Builds SQL models and Power BI dashboards for 60+ managers, and turns analysis into decisions — including a pricing change worth ₹1.2 Cr a year.
Senior
Senior analyst with 7 years leading marketing and product analytics. Owns the company's experimentation programme (40+ tests a year) and the metrics layer that finance and product report from.
Weak vs strong bullet points
The same work, written to show the result instead of the duty.
Made dashboards for the sales team.
Built 9 Power BI dashboards on sales and returns, used weekly by 60+ managers.
Names the tool, the scope and who relied on the work.
Did data analysis on discounts.
Showed 30% of coupons went to customers who would have bought anyway, leading to a ₹1.2 Cr pricing change.
Connects the analysis to a decision and its value.
Responsible for weekly reports.
Replaced 14 manual Excel reports with SQL models in BigQuery, saving 20 hours a week.
Turns a routine duty into an efficiency result.
Worked on A/B testing.
Designed a checkout-banner A/B test whose winning variant lifted add-to-cart rate by 4.6%.
Shows you ran the experiment and what it changed.
Skills to include
Technical skills
- SQL (joins, window functions, CTEs)
- Excel (Power Query, pivot tables, lookups)
- Power BI or Tableau
- Python with pandas
- Statistics basics and A/B testing
- Data cleaning and validation
- Dashboard design
Soft skills worth showing (through examples)
- Explaining findings to non-technical people
- Asking the business question behind a request
- Prioritising ad-hoc requests
ATS keywords Data Analyst job posts often use
Use the ones that are true for you, in the exact wording of the job description you're applying to.
Tips for a Data Analyst resume
Show the tool and the decision
Each bullet should say what you used (SQL, Power BI) and what changed because of it — a cost saved, a metric moved, a decision made.
Use the tool names job posts use
Write 'Power BI' and 'SQL', not just 'BI tools' or 'databases'. ATS keyword matching is literal.
Add a portfolio link
A GitHub or public dashboard link with one end-to-end project (question → data → finding) beats a list of courses.
Quantify data scale carefully
Rows, sources, users of your dashboard, hours saved — use real numbers you can explain in an interview.
Certifications help early on
PL-300 or the Google Data Analytics certificate are recognised signals when you have under 2 years of experience.
Frequently asked questions
Which skills matter most on a data analyst resume?
SQL appears in most analyst job posts, followed by Excel and one BI tool (Power BI or Tableau). Python is increasingly expected for mid-level roles.
Should I include certifications?
Yes, if they're recognised — for example Microsoft PL-300 or the Google Data Analytics certificate. Put them in their own section with the issue date.
How do I write a data analyst resume with no experience?
Lead with one or two complete projects on real public data, explain the question you answered and the result, and list the tools you used. See the fresher example for the structure.
Build your Data Analyst resume
Start from this template, or upload your current resume and move it into any design.