Business Intelligence II-SUPPORT SERVICES-Data & Analytics - In House Engineering

Business Analytics Lead

Expected to manage the PL FUW business analytics requirements

Policy challengers to be created using Reject inferencing

New Segment identification and work with Risk & Business on policy and TTD

Location distribution and expansion strategy along with Sales team target setting

Monitor Approval Rates, Funnel efficiencies and TAT management

Tracking on Sales team efficiencies using Channel Tracking Dashboards and Voice Analytics insights

Provide Leads for Sales manager for Customer Retentions and Prospective BT opportunities

Implementation of Risk based Pricing model to increase sourcing and profitability

NTB DIY Journey Funnel management

Work with Risk to make changes in Strategy for growth

Work with Partnerships data and execute DREs

Journey funnel management

Campaign management strategy

Stakeholder management and networking across analytics team counterparts required to build and implement strategies

Should be able to collaborate with Data engineering teams/Product management to implement and launch new technology based solutions for driving business growth and also data management

Skills Required

6-10 years of experience in analytics domain (preferably in Retail Lending – Banks/NBFCs/Consulting).

Prior experience of working in credit risk, portfolio analytics and cross- sell analytics profile desired.

Should have hands-on experience on modern analytics tech stacks: Python, AI, Spark, Sql etc

Should have experience of stakeholder management at Leadership level

MBA/M.Tech or BE in Computer Science, Master in Statistics or Analytics from Tier I colleges like IIT/NIT/IIMs/JBIMS/MDI/NMIMS/IIFT etc