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.