Data Analytics Jobs in India
There are 4,751 open Data Analytics jobs in India on freehire right now. 1,098 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 | ₹1,300,000 | ₹2,500,000 | 16 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 34%
- sql 30%
- ai 27%
- automation 26%
- python 22%
- powerbi 20%
- cloud 19%
- data-quality 15%
How the work is done
- Hybrid 603 · 13%
- Onsite 301 · 6%
- Remote 253 · 5%
Visa sponsorship offered in 20% of the 362 postings that state a position on it.
Seniority
- Senior 1,420
- Lead 231
- Junior 89
- Intern 45
- Principal 44
- C-level 29
Who is hiring
- 1000+ employees 1,451
- 501-1000 employees 325
- 51-200 employees 31
- 11-50 employees 16
- 201-500 employees 6
Senior Tech Analyst (Java, Angular) - Banglore (India)| Onsite | Euro Salary
Senior Tech Analyst designing Java microservices and Angular web apps, translating business needs into technical solutions, and guiding development teams for global clients.
Senior Manager, Data Analytics and Insight
Lead a team to analyze large datasets, build dashboards, and automate reports using SQL, Power BI, and text analysis to drive business decisions and process efficiency.
Data Collection Analyst (Eluru, India)
About the role We are looking for a Data Collection Analyst to support the collection, validation, analysis, and organization of financial and operational data from publicly available company information. The role…
Senior Data Analyst
Senior Data Analyst validates enterprise data pipelines, ETL processes, and Tableau dashboards using SQL, root-cause analysis, and AI tools to ensure accurate healthcare analytics.
Fraud Analyst - Content & Reviews Abuse
Investigate fraud and abuse in content/reviews on a consumer platform using SQL, Python, and analytical skills to detect patterns and recommend mitigations.
Application Development Lead Analyst
Lead analyst building automation and analytics solutions for healthcare data, writing SQL queries, and developing ETL pipelines in Python to deliver actionable insights.
Application Development Senior Analyst
Build and deploy automation and analytics solutions for healthcare data, writing SQL and Python to extract insights and improve business processes.
Finance Data Analyst
Build and maintain Power BI dashboards with AI features and DAX measures to deliver financial insights, automate reporting, and analyze KPIs for a global publishing and events business.
Model N HT Analyst
Analyzes and configures Model N HT Revenue Cloud/Rebates products using Java, Oracle, and PL/SQL for enterprise clients.
Data Analyst
Owns and maintains the company’s data warehouse in dbt, ensuring trustworthy models and actionable insights across growth, operations, and AI teams.
Software Engineering Analyst
Build and deploy ML models into production pipelines for a healthcare services division, refactoring data-scientist models into scalable batch jobs and monitoring performance in AWS.
Software Engineering Analyst
Build and maintain automated data-quality rules and dashboards in Python and Collibra to ensure trusted health-data for Cigna/Evernorth’s analytics and governance teams.
Software Engineering Analyst
Build and maintain enterprise healthcare applications using Java, Spring Boot, and AWS, focusing on microservices and Kafka for scalable IVR and API solutions.
Software Engineering Lead Analyst
Lead a team to design, build, and deploy Java/SpringBoot microservices and AI models, using AWS and OpenShift with CI/CD pipelines and automated testing.
Agile Product Management Analyst
Owns the product roadmap for an AI/ML-powered healthcare data platform, collaborating with engineers and business teams to deliver incremental improvements that enhance decision modeling for clients.
Application Development Analyst
Build and lead Python-based back-end services and APIs for healthcare analytics, collaborating with teams to deliver scalable, user-focused solutions in a hybrid environment.