CPC - BAAT - AVP - L6 - Mumbai (Intellion Square - HO)

JOB DESCRIPTION POSITION DESIGNATION Associate Vice President – Data Analyst (Insurance Domain) POSITION GRADE JOB CODE DEPARTMENT BAAT – Business Advisory and Analytics team REPORTING POSITION Deputy Vice President – Bhakti Kher WORK LOCATION Goregaon (East), Mumbai. Corporate office Objective of the role Key Responsibilities Weightage Key Responsibilities: Lead and manage data analytics projects focused on insurance functions such as underwriting, claims, renewals, persistency, fraud analytics, and customer retention. Extract, clean, and analyze large datasets from policy administration systems, CRM, and external sources (e.g., IRDAI). Design and develop dashboards, scorecards, and visualizations using tools like Power BI, Tableau, QlikView , etc., to support senior management and business units. Work with actuarial, product, operations, and distribution teams to generate insights that improve customer experience and operational efficiency. Develop and monitor insurance-specific KPIs: Claim Ratios, Persistency, Turnaround Time (TAT), Paid Ratios, Loss Ratios, etc. Implement statistical models, trend analysis, forecasting, and segmentation using SQL, Python, or R . Automate recurring reports and improve data pipelines using tools like Alteryx, KNIME, Talend , or similar ETL tools. Ensure data integrity, compliance with IRDAI guidelines , and internal governance protocols. Guide junior team members and contribute to a data-driven decision-making culture. 20 % 10% 10% 10 % 10% 20 % 10 % 5% 5% TOTAL 100% MUST HAVE Minimum 5 years of experience in data analytics roles within insurance companies (life, general, or health insurance). Strong understanding of insurance operations, regulatory requirements, and business processes. Proficiency in data querying and handling tools: SQL , Excel, and Python/R for analysis. Advanced experience with BI tools such as Power BI, Tableau, QlikView , etc. Familiarity with data modelling and automation tools like Alteryx, Informatica , or Knime . Solid grasp of actuarial or financial data interpretation is a plus. Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Actuarial Science, or a related field. Excellent communication and presentation skills. Preferred Qualifications: Certifications in analytics or BI tools (e.g., Microsoft Data Analyst Associate, Tableau Certified). Experience working with insurance core systems such as Life Asia, Ingenium, Premia, or Policy Admin Systems . Exposure to cloud-based data environments (AWS, Azure, GCP) is an advantage.