Brief description of the role:
- Work with the team to solve client business problems by translating them into an analytics problem solving framework
- Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
- Identifying ground-breaking Life and Annuities Insurance analytics propositions, including but not limited to new products, renewals, whitespace space identification, various Insurance Operations, distribution, Claims, Underwriting etc-
- Deep understanding of Life, Annuities and Pension products
- Hands on experience in Data modeling and data analytics tools like, SQL, Tableau and R or Python and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification
- The individual needs to leverage existing reporting and generate actionable insights
- Identify analytics opportunities and ensure end to end delivery of proposition
- Researching and consulting with clients on wealth of repository material of Insurance Analytics tools like whitepapers, brochures or any other marketing collateral to help sell EXLs Life & Annuities Analytics offerings
- Deliver on analytical solutions in insurance, leveraging deep business understanding and analytical expertise
- Should be able to consult customers on Life/Annuities Insurance specific analytics solutioning roadmap / blueprint
- Develop and maintain a relationship with business stakeholders
- Business Problem Solutions with Value addition to client businesses
- Specify Analysis tasks to generate insights
- Maintain high standards of quality
- Research and apply new methodologies to varied client situations
- Project Management
- Team Management
- Contributions to Strategic Initiatives within Analytics practice
Work Experience:
1. Flexible : Minimum 3+ years in the Analytics industry
2. Insurance Analytics Experience Mandatory
Functional Skills:
1. SAS or R or Python knowledge (mandatory)
a. Writing/ Troubleshooting SAS & VBA codes & SQL queries
b. Should have prior experience in Data handling/Manipulation using SAS/R/Python
2. SQL knowledge (Good to have)
a. Should be able to use optimized SQL queries to retrieve and process data from databases
3. Knowledge of Python/Tableau/R is a plus
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