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Data Analyst Resume Example & Format

Data analyst roles in India are open at retailers, banks, insurers, fintechs, consulting firms and analytics services companies, and many people enter them from MIS, operations or commerce backgrounds. Most job descriptions ask for SQL, Excel, a BI tool such as Power BI or Tableau, and increasingly Python. Because the tool list is so standard, the resume has to show what you found and what changed because of it.

Hiring managers look for three things: comfort with messy data (joins, cleaning, validation), the ability to turn analysis into a dashboard or recommendation people actually use, and communication with non-technical teams. Bullets that say "created dashboards" are common; bullets that say who used the dashboard and what decision it changed are much rarer and stand out.

The sample below is for an analyst with about three years of experience who moved from an MIS executive role in insurance to analytics at a retailer.

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Sample Data Analyst resume

Fictional candidate. Names, employers, colleges and figures are illustrative; replace every line with your own work.

Aditya Sample

Data Analyst · SQL, Python, Power BI · Retail & Insurance

  • Gurugram, Haryana
  • aditya.sample@example.com
  • +91 9XXXX XXXXX
  • linkedin.com/in/aditya-sample
  • github.com/aditya-sample

Summary

Data analyst with 3 years of experience turning sales and operations data into dashboards and recommendations for business teams. Strong in SQL and Power BI, with Python for automation and analysis. Comfortable presenting findings to store, category and finance managers.

Experience

Data Analyst

Mar 2025 – Present

Adventure Works Retail Pvt. Ltd. · Gurugram

  • Built a Power BI sales and inventory dashboard used weekly by 60 store managers, replacing 12 manually prepared Excel reports.
  • Wrote SQL cohort analysis on loyalty data that showed repeat purchase dropping after the second order; the resulting win-back campaign recovered about 9% of lapsed members in a quarter.
  • Analysed an A/B test of a new checkout layout for the app team, including sample size checks and segment cuts, which supported a full rollout.
  • Automated daily data quality checks in Python (pandas) on 15 source tables, flagging missing and duplicate records before reports refreshed.

MIS Executive

Jul 2023 – Feb 2025

Contoso Insurance Services · Noida

  • Prepared daily and monthly claims MIS for operations leadership using Excel (Power Query, pivot tables, XLOOKUP) and SQL Server.
  • Cut monthly report preparation from 2 days to 3 hours by moving manual steps into Power Query and scheduled SQL views.
  • Identified a recurring data entry error in claim status codes that overstated pending claims; fix approved and rolled out across 4 regional teams.

Projects

IPL ball-by-ball analysis

Python, SQL, Power BI

  • Explored a public ball-by-ball dataset to compare death-over economy rates by venue; published the notebook and dashboard on GitHub.

Skills

  • Analysis: SQL (joins, CTEs, window functions), Python (pandas, NumPy, Matplotlib), Excel (Power Query, pivots)
  • BI & visualisation: Power BI (DAX, data modelling), Tableau, Looker Studio
  • Statistics: A/B testing, Hypothesis testing, Regression, Cohort analysis
  • Data: SQL Server, PostgreSQL, BigQuery, Data cleaning, ETL basics

Education

B.Sc. (Hons) Statistics

2020 – 2023

Example University · Delhi · First Division

Certifications

  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)
  • Google Data Analytics Professional Certificate
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What makes this resume work

  • Every bullet names who used the analysis and what changed, not just the tool used to make it.
  • SQL skills are described at a useful level of detail (CTEs, window functions), which helps in technical screening.
  • The MIS role is reframed around automation and data quality, making the career switch into analytics look natural.
  • Statistics knowledge is backed by an A/B test bullet, so it is not just a line in the skills section.
  • One public project with a clear question shows curiosity without padding the resume with course assignments.
  • Certifications are recognised and tied to the tools in the job descriptions.

Data Analyst resume keywords for ATS

Recruiters and applicant tracking systems search for these terms. Use the ones that genuinely match your experience, in your bullets as well as your skills section, and mirror the wording of each job description.

  • Data Analyst
  • SQL
  • Python
  • pandas
  • Excel
  • Power Query
  • Power BI
  • DAX
  • Tableau
  • Data Visualisation
  • Dashboards
  • Data Cleaning
  • Data Modelling
  • ETL
  • A/B Testing
  • Statistics
  • Cohort Analysis
  • KPI Reporting
  • Stakeholder Management
  • BigQuery
  • Business Insights

Data Analyst resume mistakes to avoid

  • Writing "created dashboards and reports" without saying who used them or what decision they supported.
  • Listing Python, R, SAS, Tableau, Power BI and Qlik together when you have only used one or two in real work.
  • Filling the projects section with the same Titanic or Iris dataset projects that thousands of applicants submit.
  • Hiding domain knowledge. Retail, BFSI or healthcare experience is valuable and should be visible in the headline or summary.
  • Forgetting communication. Analysts are hired to explain data, so mention presentations, stakeholder reviews or written insights.

Frequently asked questions

What skills should a data analyst resume show in India?

Most roles expect SQL, advanced Excel and one BI tool such as Power BI or Tableau. Python with pandas is increasingly asked for, along with basic statistics like A/B testing and regression. Beyond tools, show business understanding and communication: what you analysed, who used it and what changed. Domain experience in retail, BFSI, e-commerce or healthcare is a plus worth highlighting.

Can I become a data analyst from a non-IT or commerce background?

Yes, many analysts come from commerce, statistics, economics or operations roles. Build strong SQL and Excel skills, learn one BI tool, and complete two or three projects using real public data with a clear business question. On your resume, reframe current work around reporting, data cleaning or process improvement. An MIS or operations analyst role is often a practical first step.

Which certification is most useful for a data analyst?

For Power BI roles, Microsoft's PL-300 Power BI Data Analyst certification is widely recognised. The Google Data Analytics certificate is useful for beginners because it covers the full workflow. Certifications help you clear filters, but interviewers will test SQL and case questions directly, so spend more time on practice and projects than on collecting many certificates.

How do I describe dashboard work on my resume?

Say what the dashboard tracked, who used it and how often, and what it replaced or improved. For example, a weekly sales dashboard for 60 store managers that replaced 12 manual reports is far stronger than "built Power BI dashboards". If it influenced a decision, such as reallocating stock or changing a campaign, include that outcome in the same bullet.

Should a data analyst resume include a GitHub or portfolio link?

It helps, especially for freshers and career switchers. A GitHub repository with clean SQL or Python notebooks, or a published Power BI or Tableau Public dashboard, lets reviewers check your work quickly. Keep only two or three projects with clear questions and conclusions, and write a short README for each so someone can understand it in a minute.

Make your Data Analyst resume

Start from a clean ATS-friendly template, fill in your own experience, then check it against the job description.

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