Data Analytics Jobs in India
There are 4,660 open Data Analytics jobs in India on freehire right now. 1,174 of them were posted recently. The skills employers ask for most often are analytics, sql and ai.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| INR | year | ₹550,000 | ₹1,000,000 | ₹2,500,000 | 15 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 34%
- sql 30%
- ai 26%
- automation 26%
- python 21%
- powerbi 20%
- cloud 19%
- data-quality 14%
How the work is done
- Hybrid 589 · 13%
- Onsite 293 · 6%
- Remote 226 · 5%
Visa sponsorship offered in 19% of the 346 postings that state a position on it.
Seniority
- Senior 1,388
- Lead 230
- Junior 93
- Middle 50
- Principal 44
- Intern 41
Who is hiring
- 1000+ employees 1,481
- 501-1000 employees 316
- 51-200 employees 30
- 11-50 employees 16
- 201-500 employees 6
Global Banking & Markets - FICC Management - Analyst - Bengaluru
Analyst on the FICC Management & Strategy team at Goldman Sachs in Bengaluru, performing revenue/expense analysis, reporting, budgeting, and benchmarking to support decision-making across Global Markets.
Analyst
The Analyst provides customer support via chat for products and services, handling queries and troubleshooting technical issues. The role requires strong communication skills and the ability to work in 24/7 shifts.
Analyst – Human Capital Generalist
An HR generalist managing employee lifecycle processes (onboarding, separations, benefits, L&D) and operational HR tasks in Hyderabad. Focuses on process improvement, vendor coordination, employee engagement, and data-driven insights for talent development.
Data Analyst
Analyzes business data to uncover trends, creates visualizations (Tableau/Power BI), and collaborates with teams to solve problems using SQL and Excel. Focuses on reporting, dashboards, and basic statistical modeling.
Customer Engineering Manager, Data Analytics, Google Cloud
Leads a team of customer engineers to advise clients on Google Cloud’s data analytics and AI solutions, driving workload migration, technical strategy, and customer success through architecture reviews, demos, and cross-functional collaboration.