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Data Analyst / Data Scientist salary by experience
Annual CTC ranges below are for Tier-1 metro cities (Bengaluru, Mumbai, Delhi-NCR, Hyderabad, Pune, Chennai). The median (P50) is the middle of the market; P25 and P75 mark the low and high of the typical range.
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How to get hired as a Data Analyst / Data Scientist: skills, learning & companies
These are the skills that move a Data Analyst / Data Scientist's pay the most, where to learn them free, and who's hiring — including under-the-radar companies worth a look. Pair this with our step-by-step job-search guide and the salary ranges above.
Top skills that raise your pay
- SQL — the single most-tested analyst skill — non-negotiable.
- Excel / Google Sheets — still the daily driver in most companies.
- Python (Pandas, NumPy) — for cleaning and analysing data at scale.
- Visualisation (Power BI / Tableau) — turns analysis into decisions leaders act on.
- Statistics & A/B testing — separates real analysts from chart-makers.
- Machine-learning basics — the bridge to higher-paid data-science roles.
Learn these for free
Reputable, no-cost resources — no paid course funnels.
- Kaggle Learn
- roadmap.sh — Data Analyst
- Google Data Analytics (Coursera, audit free)
- NPTEL — Data analytics
- freeCodeCamp — Data analysis with Python
Where the jobs are
🏢 Top companies hiring
- Microsoft
- Amazon
- Flipkart
- Mu Sigma
- Fractal Analytics
- Tiger Analytics
- Deloitte
- EY
💎 Hidden-gem companies
Less obvious names that pay well or offer strong growth.
- Tiger Analytics — analytics-first firm, strong for early data careers.
- Fractal Analytics — AI/analytics with good learning and pay.
- Sigmoid — data engineering + analytics on a modern stack.
- Gramener — data-storytelling specialist, underrated for growth.
- Atlan — data-catalog product with premium data roles.
Breaking in
🎓 If you're a fresher
Master SQL first, publish 2–3 dashboards/notebooks (Kaggle + a Power BI portfolio), then apply for 'Data/Business Analyst' roles. Real datasets on your GitHub beat certificates.
🔁 If you're already experienced
Add Python + statistics and move toward data science or analytics engineering. Specialising in one domain (fintech, e-commerce) plus ML lifts pay sharply.
Worthwhile certifications: Google Data Analytics, Microsoft PL-300 (Power BI).
What affects a Data Analyst / Data Scientist's salary?
- Experience & seniority — the single biggest lever, as the table above shows.
- Company type — product companies, MNCs and well-funded startups typically pay above services firms.
- City — Tier-1 metros pay the most; Tier-2 cities pay roughly 15% less and Tier-3/remote about 28% less.
- Skills & specialisation — in-demand, high-value skills and certifications push you toward the P75 end.
- Negotiation & timing — switching roles and negotiating well often moves pay more than annual increments.
CTC is not take-home
The ranges above are CTC (cost to company). What reaches your bank account each month is lower after EPF, professional tax and income tax. Convert any figure into monthly in-hand with our take-home salary calculator, and see how companies build a CTC.
Turn CTC into monthly in-hand
A higher CTC doesn't always mean more cash in hand. See your real take-home after EPF, professional tax and income tax for FY 2025-26.
Take-Home Salary Calculator → Am I Underpaid? ToolFrequently asked questions
What is the average salary of a Data Analyst / Data Scientist in India?
For a Data Analyst / Data Scientist in India, a typical fresher (0–2 years) earns around ₹6.0 L a year, while a senior professional (10+ years) is around ₹35.0 L. These are indicative median (P50) figures for Tier-1 cities; actual pay depends on company, skills and location.
How much does an experienced Data Analyst / Data Scientist earn?
An experienced Data Analyst / Data Scientist (10+ years) in a Tier-1 city typically earns between ₹25.0 L and ₹50.0 L a year, with the median around ₹35.0 L. Top performers and specialists can earn more.
Am I underpaid as a Data Analyst / Data Scientist?
Compare your CTC against the market range for your experience and city. If you are below the 25th percentile (P25) for your band, you are likely underpaid. Use our salary benchmark tool to check your exact position and compa-ratio.
Are these Data Analyst / Data Scientist salary figures guaranteed?
No. They are indicative ranges aggregated from public salary data for India and are for guidance only, not a guarantee. Real offers depend on the specific employer, your skills, performance and negotiation.
What skills do I need to become a Data Analyst / Data Scientist in India?
The most in-demand skills are SQL, Excel / Google Sheets, Python (Pandas, NumPy), Visualisation (Power BI / Tableau). You can learn all of them free through resources like Kaggle Learn and roadmap.sh — Data Analyst.
Which companies hire Data Analyst / Data Scientists in India?
Well-known employers include Google, Microsoft, Amazon, Flipkart, Mu Sigma. Strong but lesser-known options worth applying to include Tiger Analytics, Fractal Analytics, Sigmoid.