Business Intelligence II-SUPPORT SERVICES-Data & Analytics - In House Engineering
Role Overview
The Business Analytics Lead manages PL FUW business analytics requirements and supports growth through lending, risk, sales, and journey analytics.
Key Skills for This Role
Full Job Posting
Role overview
The Business Analytics Lead manages PL FUW business analytics requirements and supports growth through lending, risk, sales, and journey analytics.
Business analytics and strategy
- Create policy challengers using reject inferencing and identify new segments with Risk and Business.
- Work with Risk on policy and TTD, and on strategy changes to support growth.
- Develop location distribution and expansion strategy with Sales, including target setting.
- Monitor approval rates, funnel efficiencies, and turnaround time.
- Track Sales team efficiency through channel-tracking dashboards and voice-analytics insights.
- Provide Sales managers with leads for customer retention and prospective BT opportunities.
- Implement risk-based pricing models to increase sourcing and profitability.
- Manage the NTB DIY journey funnel, journey funnels, and campaign strategy.
- Work with Partnerships data and execute DREs.
- Build relationships across analytics teams to develop and implement strategies.
- Collaborate with Data Engineering and Product Management to launch technology solutions for business growth and data management.
Experience and qualifications
- 6–10 years of experience in an analytics domain.
- Retail lending experience in banks, NBFCs, or consulting is preferred.
- Prior experience in credit risk, portfolio analytics, and cross-sell analytics is desired.
- Hands-on experience with modern analytics stacks including Python, AI, Spark, and SQL.
- Experience managing stakeholders at leadership level.
- MBA, M.Tech, BE in Computer Science, or a master’s in Statistics or Analytics; Tier I institutions are cited as examples.
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