About the job: Key Responsibilities: 1. Extract, transform, and load (ETL) large-scale datasets from diverse sources using big data tools and frameworks. 2. Cleanse and preprocess structured and unstructured data to maintain consistency, accuracy, and usability. 3. Automate data ingestion and processing pipelines using scripting and workflow orchestration tools. 4. Conduct exploratory data analysis to uncover patterns, correlations, and anomalies in large datasets. 5. Apply advanced statistical and machine learning techniques to extract insights and support data-driven decisions. 6. Build and maintain interactive dashboards and data visualizations using tools like Power BI, Tableau, or similar platforms. 7. Collaborate with data engineers, analysts, and business stakeholders to translate data insights into actionable strategies. 8. Ensure data quality by validating completeness, accuracy, and consistency across datasets. 9. Monitor and resolve data discrepancies, applying automated quality control checks where applicable. 10. Support business intelligence efforts by defining KPIs, analyzing trends, and modeling future scenarios. 11. Work with cross-functional teams to improve operational efficiency through data insights. 12. Stay updated with emerging technologies in big data, analytics, and cloud computing. 13. Participate in internal knowledge-sharing sessions and external training to continually enhance data capabilities. 14. Promote best practices in data governance, privacy, and compliance across all data-related activities. Who can apply: Only those candidates can apply who: Salary: ₹ 4,90,000 - 7,40,000 /year Experience: 0 year(s) Deadline: 2025-08-01 23:59:59 Other perks: 5 days a week, Cab/Transportation facility Skills required: Java, Python, SPSS, SQL, Machine Learning and Hadoop Other Requirements: 1. Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 2. Prior experience in data analysis, business intelligence, or similar roles. 3. Proficient in analytical tools and programming languages such as SQL, Python, R, or SPSS. 4. Strong analytical mindset with excellent problem-solving and attention to detail. 5. Effective communication and presentation skills. 6. Ability to work independently as well as in a team-oriented, fast-paced environment. 7. Familiarity with data visualization tools like Tableau, Power BI, or SPSS is an added advantage. 8. Understanding of machine learning concepts and data mining techniques is preferred. About Company: As one of the world's largest private healthcare providers, IHH Healthcare operates over 140 healthcare facilities across 10 countries, including 80+ hospitals, clinics, and ambulatory care centers, and employs over 70,000 skilled professionals to deliver on our aspiration to Care. For Good. For millions of patients every year.
