Chief Manager - Data Analytics

Chief Manager Banca & Partner Analytics Job Location : Mumbai BKC Corporate Office Work Mode : Work From Office (WFO) Designation : Chief Manager Reporting To : AVP Experience : 45 Years Industry : Life Insurance / BFSI / Banking / Financial Services Job Summary : We are looking for an experienced Chief Manager Banca & Partner Analytics to drive data-led business growth across the bancassurance and partner-bank channel. The role will be responsible for analyzing sales, customer, branch and partner performance data; developing customer segmentation and predictive/propensity models; and translating analytical insights into actionable recommendations for Sales, Distribution and Relationship Managers. The ideal candidate should have strong expertise in SQL, Python/R, Power BI/Tableau, customer analytics, predictive modeling and business analytics, along with a good understanding of banking, life insurance and bancassurance. Key Responsibilities : - Analyze bancassurance sales data and provide actionable insights to drive life insurance business growth across partner bank branches. - Support cross-sell and upsell initiatives through customer behavior and business analytics. - Develop customer segmentation, profiling and targeting models to identify high-potential customer segments. - Build and maintain predictive and propensity models for lead generation, targeting and conversion improvement. - Provide data-driven recommendations to Relationship Managers and sales teams to improve productivity and effectiveness. - Monitor branch-level, region-level and partner-level performance and identify business growth opportunities. - Perform end-to-end analytics including data extraction, cleansing, transformation, analysis and visualization. - Design and maintain dashboards, MIS and management reports for regular performance tracking. - Collaborate with Sales, Distribution, Product, Marketing, Technology/Data Engineering and Analytics teams. - Work closely with partner bank stakeholders to understand business requirements and deliver analytical solutions. - Measure the impact of analytics-led interventions on sales, conversion, productivity and insurance penetration. - Translate complex analytical findings into clear business recommendations for senior stakeholders. Key Performance Indicators : - Improvement in cross-sell and upsell ratios. - Increase in insurance penetration across partner branches. - Improvement in branch and RM productivity. - Improvement in lead-to-conversion rates. - Accuracy and effectiveness of predictive/propensity models. - Adoption of analytics-driven recommendations by business teams. - Business impact generated through data-driven initiatives. - Timely delivery and accuracy of dashboards, MIS and analytical reports. Required Skills & Competencies : - Strong analytical and problem-solving skills. - Hands-on expertise in SQL. - Strong working knowledge of Python or R. - Experience with Power BI or Tableau. - Experience in customer segmentation and customer profiling. - Knowledge of predictive modeling and propensity modeling. - Experience in sales, customer, branch or distribution analytics. - Strong understanding of business intelligence and data visualization. - Ability to work with large and complex datasets. - Strong communication and stakeholder management skills. - Ability to translate data insights into actionable business recommendations. - Good understanding of banking, insurance, BFSI and customer lifecycle analytics. Preferred Experience : - Experience in Life Insurance, Bancassurance, Banking, BFSI or Financial Services. - Experience working with partner-bank / bancassurance distribution channels. - Experience in customer analytics, sales analytics or distribution analytics. - Experience developing predictive models, propensity models or lead-scoring models. - Proven track record of generating measurable business impact through analytics. - Experience working with multiple business and technology stakeholders. Qualification : Graduation in Engineering, Statistics, Mathematics, Economics, Computer Science or a related discipline. MBA / Post-Graduation in Analytics, Business, Finance, Statistics or a related field will be preferred.