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Data & Analytics

Resume for Data Analyst (India, 2026)

Data analyst openings in India have roughly tripled since 2022. Recruiters at consulting firms (Mu Sigma, Tiger Analytics, Bridgei2i) and product companies (Razorpay, Swiggy, Meesho) scan for SQL proficiency, a BI tool, and — most importantly — a story showing that your analysis changed a real decision. Resumes that list tools without showing decisions get rejected at the first pass.

entry
₹4-8 LPA
mid
₹10-18 LPA
senior
₹22-40 LPA

What recruiters want to see

  • Bullets that name the decision your analysis enabled ("Identified that 40% of churn came from one cohort → triggered ₹8L/month retention campaign")
  • Specific metrics — DAU/MAU lifted, revenue moved, hours saved, error rate reduced
  • A dashboard or two you actually built, with a screenshot link if shareable
  • Mention of A/B test results — even one well-described test stands out
  • Industry context — analytics for ecommerce ≠ analytics for SaaS ≠ analytics for finance

Common rejection causes

  • Listing tools as bullet points without showing what you analyzed with them
  • Vague "derived insights" or "provided recommendations" — recruiters need specifics
  • Skipping SQL examples because "everyone has SQL" — call out advanced parts (windows, recursive CTEs)
  • Putting certifications above experience — your work matters more than a Coursera badge
  • Confusing analyst vs scientist responsibilities in the same resume

Top ATS keywords for data & analytics roles

These are the terms most often scanned by applicant-tracking systems for resume for data analyst. If you have genuine experience with any of them, work them into your resume bullets — not a generic "skills" dump.

SQLPythonPandasNumPyTableauPower BIExcelA/B TestingStatisticsData VisualizationETLSnowflakeLookerCohort AnalysisRegression

Hard skills hiring managers expect

  • · SQL (window functions, CTEs)
  • · Python + pandas
  • · One BI tool (Tableau / Power BI / Looker)
  • · Statistical fundamentals (regression, hypothesis testing)
  • · A/B test design
  • · Excel/Sheets at intermediate+

Soft skills that get callbacks

  • · Translating ambiguous business asks to queries
  • · Stakeholder management
  • · Storytelling with data
  • · Curiosity / asking the next question
  • · Documentation

Sample resume — Data & Analytics

Modeled on resumes that get callbacks at Indian top-tier companies. Use it as a starting point, not a copy.

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Pooja Iyer

Senior Data Analyst · SQL + Python + Tableau
pooja.iyer@example.com·+91 96xxx xxxxx·Hyderabad, India·linkedin.com/in/poojaiyer

Summary

Data analyst with 4 years in B2C product analytics. Owned funnel + retention KPIs for an app at 12M MAU, designed 30+ A/B tests, and translated analyses into product changes that shipped to prod. Comfortable owning a dashboard end-to-end from raw event to executive review.

Experience

Senior Data Analyst QuickKart (e-commerce, Series C)

Jan 2023 · Present
  • Owned weekly business review for executive team across GMV, AOV, retention; reduced report prep time 8hr → 30min via automation
  • Designed 12-cell A/B test on checkout flow; recommended winner that lifted conversion 4.2% (+₹2.1Cr/quarter)
  • Built cohort-retention dashboard in Tableau that surfaced a 28% drop on new-user day-7 in tier-3 cities → triggered product fix
  • Trained 4 analysts on advanced SQL (window functions, recursive CTEs); cut query-review back-and-forth 50%

Data Analyst BlueOcean Bank

Jul 2021 · Dec 2022
  • Identified ₹4.8Cr/yr in fraudulent card-not-present claims via outlier detection in Python; integrated into risk pipeline
  • Built Power BI dashboards for branch managers across 38 cities; adoption hit 92% within 60 days

Education

B.Sc. StatisticsChrist University, Bengaluru · 2021

Skills

SQL (advanced)PythonPandasNumPyTableauPower BIA/B TestingCohort AnalysisSnowflakeLookerExcelHypothesis Testing
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Frequently asked questions

Is a data analyst resume different from a data scientist's?+

Yes. Analysts lead with business outcomes and BI tools; scientists lead with model performance and research. Don't mix — clarity beats breadth.

Should I include SQL queries as snippets on my resume?+

No. Mention complex SQL you've written (window functions, CTEs, query optimization) in bullets — never paste code.

How do I show analyses on a resume if NDAs prevent specifics?+

Use ranges and relative impact. "Lifted conversion 4-6%" or "saved low-seven-figure annualized revenue" is fine; "~50% of LOB X" is too vague.

Do certifications matter (Google Data Analytics, etc.)?+

Marginally — they help freshers clear ATS keyword screens but rarely move senior hiring. Real work > certifications past year 2.

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