Recruiters for data analyst roles look for the tools you use (SQL, Excel, a BI tool, often Python) and, above all, the decisions your analysis changed. Lead with numbers.
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The example resume
The person and companies are made up; the structure and the kind of numbers are what recruiters look for.
Data analyst with 4 years of experience turning sales and product data into decisions. Skilled in SQL, Power BI and Python; known for dashboards people use and clear explanations for leaders.
Experience
Data Analyst, Northwind Retail04/2022 – Present
Bengaluru
Built a Power BI sales dashboard used by 60 managers, replacing 12 Excel reports
Found a checkout drop-off that, once fixed, lifted conversion by 6%
Cut weekly reporting time from 10 hours to 2 by automating SQL queries
Designed and read out 15 A/B tests on pricing and onboarding
Junior Data Analyst, Contoso Finance07/2020 – 03/2022
Pune
Cleaned and merged data from 5 sources into one trusted reporting table
Forecast monthly demand within 4% of actuals for the supply team
Reduced data errors in finance reports by 90% with validation checks
Education
Coastal Institute of Technology2017 – 2020
BSc, Statistics
Skills
SQL, Excel, Power BI, Python (pandas), A/B testing, Statistics, Data cleaning, Stakeholder communication
Certifications
Microsoft Power BI Data Analyst, Microsoft (05/2023)
Languages
English (Full professional), Hindi (Native / bilingual), Kannada (Limited working)
Summary examples
Data analyst with 4 years of experience turning sales and product data into decisions. I build dashboards people actually use and explain findings in plain language.
Analyst skilled in SQL, Power BI and Python. I have cut reporting time by half and found the pricing insight behind an 8% revenue gain.
Data Analyst achievement lines
Swap in your own numbers. A line with a result (a number, a before and after) beats a list of duties.
Built a Power BI sales dashboard used by 60 managers, replacing 12 manual Excel reports
Cut weekly reporting time from 10 hours to 2 by automating SQL queries
Found a checkout drop-off that, once fixed, lifted conversion by 6%
Analysed 2 million transactions to segment customers for targeted campaigns
Designed and read out 15 A/B tests on pricing and onboarding
Forecast monthly demand within 4% of actuals for the supply team
Cleaned and merged data from 5 sources into one trusted reporting table
Presented monthly insights to the leadership team in a one-page summary
Reduced data errors in finance reports by 90% with validation checks
Trained 20 colleagues to build their own reports in Power BI
Identified 3 slow-moving product lines, freeing ₹1.2 crore of stock
Defined KPIs for the new loyalty programme with marketing and product
Built a churn model in Python that flagged 70% of leaving customers early
Documented 40 metrics in a data dictionary used across teams
Answered 30+ ad-hoc data questions a month within one working day
