About the job: Key Responsibilities: 1. Extract, transform, and load (ETL) data from multiple sources. 2. Clean and preprocess datasets to ensure consistency and accuracy. 3. Develop automation scripts and workflows for efficient data collection and processing. 4. Conduct exploratory data analysis to identify trends, patterns, and anomalies. 5. Apply statistical methods and predictive modeling to generate actionable insights. 6. Create interactive dashboards, reports, and data visualizations for stakeholders. 7. Communicate analytical findings clearly to both technical and non-technical teams. 8. Validate data integrity, completeness, and accuracy across all datasets. 9. Identify and resolve data quality issues through regular audits and checks. 10. Define and track KPIs and performance metrics in collaboration with business teams. 11. Analyze business processes to recommend improvements based on data insights. 12. Provide ad-hoc analysis and scenario modeling to support strategic decisions. 13. Stay updated with industry trends, tools, and emerging technologies in analytics. 14. Participate in training and share knowledge to promote continuous learning. 15. Collaborate cross-functionally to embed data-driven decision-making into the organization. Who can apply: Only those candidates can apply who: Salary: ₹ 4,90,000 - 6,40,000 /year Experience: 0 year(s) Deadline: 2025-08-01 23:59:59 Other perks: 5 days a week, Cab/Transportation facility Skills required: Python, SPSS, SQL, Data Analytics, MS-Excel, Data Science, Power BI and Tableau Other Requirements: 1. Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related discipline. 2. Prior experience in data analysis, business intelligence, or similar roles. 3. Proficient in data analysis tools and programming languages such as SPSS, SQL, Python, or R. 4. Strong analytical thinking and problem-solving skills with a keen eye for detail. 5. Excellent written and verbal communication skills with the ability to present insights effectively. 6. Capable of working both independently and within cross-functional teams in a dynamic environment. 7. Familiarity with data visualization tools like Tableau, Power BI, or SPSS is an added advantage. 8. A basic understanding of machine learning and data mining techniques is desirable. About Company: IHH Healthcare is one of the world's largest private healthcare services providers. With an integrated network spanning over 80 hospitals in 10 countries, we deliver on our aspiration to Care. For Good. For millions of patients every year.