Team Manager-Business Analyst & Business Intelligence

• Cross Sell-
• Conduct Multiple experiments/POC for cross sell which help to identify customer need and want on insurance products
• Propensity model Creation Using Machine learning and AI for providing Next Best Product to customer
• Analyzed Vertical wise customer behavior to understand best time to pitch next best product
• Communicate with respective stakeholders on cross sell strategy and planning
• Claims Analytics Management LOB
  

Create the framework for claims optimization leveraging data science technique at all levels -Customer entity and distribution

• Work jointly with ILM, Legal team to find fraud and nexus with the help of data.
• Closely work with Claims team on OD-STP engine creation and optimization along with other LRP projects.
• Entity Optimization (Repairer Anomaly Detection)- Identify the anomalous behavior of Repairer Entities with respect to a benchmark of its peers.
• Customer level data Enrichment
• Internal and External data (Group, Prospect, Bureau) sources identification and utilization to create opportunity on organization level to enrich Customer level information
• Strategic and functional planning
• Assists in evaluating short-term and long-term business challenges/ requirements to ascertain if the same can be resolved using analytics.
• Uses analytics to understand the organizations advantages and sharing the same with key stakeholders.
• Sensitizes the relevant stakeholders on the strengths of adopting analytics for the business such as higher process efficiency, better decision making, reduction in risk, etc.
• Analytics Management
• Performs predictive modelling including data extraction using R / SAS/ Python tools . Shares the inputs from the same with key stakeholders.
• Assists in monitoring business, identifying issues if any and communicating the same to the potential users of the data.
• Performs end to end predictive modelling for all data points, including vetting the data, identifying outliers, understanding data points which are missing, and creating features based on the same for the best use of the business.
  
• Performs renewal studies for all lines of business and sharing insights with the various stakeholders.
• Assists in institutionalizing analytic learnings across businesses and processes. Understands the business demands and undertake initiatives to cater to the same.
• Study and analyze previous years data points for fraud detection with the ability to decipher trends / patterns from the same to understand the relevant trends and share the same with the stakeholders.
• Team development
• Participate in recruitment process to identify the right talent within the function
• Establish individual performance expectations and regularly review individual performance of the team.
• Identify and create development opportunities for team members to enhance functional knowledge
• Strategic Partner Management
• Identify and Create Capabilities leveraging FinTech and InsuTech Partners ecosystem.
  

Create data science utilities to be used by internal team leveraging Analytics Vendors

• Cross Sell-
• Conduct Multiple experiments/POC for cross sell which help to identify customer need and want on insurance products
• Propensity model Creation Using Machine learning and AI for providing Next Best Product to customer
• Analyzed Vertical wise customer behavior to understand best time to pitch next best product
• Communicate with respective stakeholders on cross sell strategy and planning
• Claims Analytics Management LOB
  

Create the framework for claims optimization leveraging data science technique at all levels -Customer entity and distribution

• Work jointly with ILM, Legal team to find fraud and nexus with the help of data.
• Closely work with Claims team on OD-STP engine creation and optimization along with other LRP projects.

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• Entity Optimization (Repairer Anomaly Detection)- Identify the anomalous behavior of Repairer Entities with respect to a benchmark of its peers.
• Customer level data Enrichment
• Internal and External data (Group, Prospect, Bureau) sources identification and utilization to create opportunity on organization level to enrich Customer level information
• Strategic and functional planning
• Assists in evaluating short-term and long-term business challenges/ requirements to ascertain if the same can be resolved using analytics.
• Uses analytics to understand the organizations advantages and sharing the same with key stakeholders.
• Sensitizes the relevant stakeholders on the strengths of adopting analytics for the business such as higher process efficiency, better decision making, reduction in risk, etc.
• Analytics Management
• Performs predictive modelling including data extraction using R / SAS/ Python tools . Shares the inputs from the same with key stakeholders.
• Assists in monitoring business, identifying issues if any and communicating the same to the potential users of the data.
• Performs end to end predictive modelling for all data points, including vetting the data, identifying outliers, understanding data points which are missing, and creating features based on the same for the best use of the business.
• Performs renewal studies for all lines of business and sharing insights with the various stakeholders.
• Assists in institutionalizing analytic learnings across businesses and processes. Understands the business demands and undertake initiatives to cater to the same.
• Study and analyze previous years data points for fraud detection with the ability to decipher trends / patterns from the same to understand the relevant trends and share the same with the stakeholders.
• Team development
• Participate in recruitment process to identify the right talent within the function
• Establish individual performance expectations and regularly review individual performance of the team.
• Identify and create development opportunities for team members to enhance functional knowledge
• Strategic Partner Management
• Identify and Create Capabilities leveraging FinTech and InsuTech Partners ecosystem.
  

Create data science utilities to be used by internal team leveraging Analytics Vendors