Fresher data analyst resume example
Nikhil Verma · Data Analyst · Indore, Madhya Pradesh. A sample person — replace every detail with your own.
Professional summary
B.Sc. Statistics graduate with a six-month analytics internship at a retail chain, writing SQL queries and building weekly sales dashboards in Power BI. Cleans messy transaction data in Python, explains trends in plain language and double-checks numbers before sharing. Seeking an entry-level analyst role in retail, e-commerce or consumer finance.
Skills
- SQL
- Power BI
- Excel pivot tables
- Python (Pandas)
- Data cleaning
- Descriptive statistics
- DAX basics
- Stakeholder reporting
Experience
- Wrote SQL queries on roughly two million monthly billing rows to track category sales, footfall and average basket value by store.
- Built a Power BI dashboard for store managers that replaced a manually emailed Excel report and refreshed automatically every morning.
- Identified eleven stores with repeated stock-outs in dairy, and the supply team adjusted reorder levels after reviewing the analysis.
Education
Certifications and registrations
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- NPTEL course in Python for Data Science
Projects
- Mandi price tracker — scraped wholesale onion and soybean prices and charted weekly volatility across five Madhya Pradesh markets
- Loan default classifier — trained a logistic regression model on a public lending dataset and explained key risk factors
Languages
English · Hindi
Download this resume
Edit it in Word or Google Docs. The layout is ATS-friendly: one column, standard headings, no tables or text boxes.
Edit this resume in the free resume builder → — change the template, colour and country, then download.
Experienced data analyst resume example
Lavanya Krishnan · Senior Data Analyst – Product Analytics · Bengaluru, Karnataka. A sample person — replace every detail with your own.
Professional summary
Senior data analyst with six years in fintech and e-commerce, currently leading product analytics for a lending app’s onboarding and repayment journeys. Designs metrics, runs A/B test readouts and builds self-serve dashboards used by product managers every day. Strong in SQL, Python and experiment design, with a habit of documenting every metric definition.
Skills
- Advanced SQL
- Python
- A/B testing
- Funnel analysis
- Cohort retention
- Tableau
- dbt
- BigQuery
- Metric definitions
- Stakeholder storytelling
Experience
- Own analytics for onboarding and repayment flows used by about four million borrowers, partnering with three product managers.
- Designed and analysed 18 A/B tests, including a KYC step change that lifted application completion by roughly six percentage points.
- Built dbt models and a Tableau workspace that cut ad hoc data requests to the analytics team by nearly half.
- Mentor two junior analysts through weekly query reviews and a shared checklist for validating results before sharing.
- Analysed cohort retention by city and first-order category, informing a welcome-offer change that improved second-order rates in new markets.
- Automated a daily delivery-slot utilisation report in Python, saving operations leads about five hours of manual work each week.
- Investigated a sudden spike in refunds and traced it to a packaging issue at one warehouse within two days.
- Prepared branch-wise sales and persistency reports in Excel and SQL for regional managers across the southern zone.
- Replaced copy-paste steps in the monthly incentive workbook with lookup formulas, reducing calculation errors flagged by branch teams.
- Answered data requests from zonal heads within agreed timelines and kept a log of recurring questions for future automation.
Education
Certifications and registrations
- Tableau Desktop Specialist
- Google Cloud course in BigQuery for Data Analysts
Projects
- Metric glossary — created a documented source of truth for 60 product metrics adopted across lending squads
Languages
English · Tamil · Kannada
Download this resume
Edit it in Word or Google Docs. The layout is ATS-friendly: one column, standard headings, no tables or text boxes.
Edit this resume in the free resume builder → — change the template, colour and country, then download.
Why these resumes work
- Nikhil’s stock-out bullet ends with what the supply team changed, turning a routine internship dashboard into evidence that his analysis drives real decisions.
- Lavanya quantifies both her data scale and her experiment count, so a hiring manager can judge her product analytics depth before reaching the skills list.
- The fresher’s projects use Indian datasets like mandi prices, which feel original and give interviewers something specific and interesting to discuss.
- Bullets about reducing ad hoc requests and mentoring show the experienced analyst improving how the team works, which matters for senior roles.
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