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

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

Description

Grade – M4


Business Analytics/Intelligence


Job description


 



  • Analytical interventions required to increase market share of the ETB customer segments by also managing the risk and building marketing analytics strategy proposals

  • Actively work with Risk & Policy counterparts to design segments to Pre-approve using proprietary risk scorecards, customer transaction data and external data sources

  • Implement risk management strategies while also driving business growth- manage portfolio performance and risk regularly

  • Drive business key KPIs on Upsell and Cross-sell; by optimising segment level offering using right pricing models

  • Design Decision Tree or Regression Models to identify better/worse performing segments

  • Create reports and dashboards on portfolio performance for consumption of senior leadership team

  • 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 and AI based solutions for driving business growth and also data management


 Skills Required:



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

  • Should have hand-on experience on modern analytics tech stacks: SAS, Python, R and Agentic AI flow creation

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


 



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