Data Analyst

Job Description:

Primary Role Description: -

• The incumbent will be a part of the advanced descriptive and predictive analytics sub-function to work on analysis/reports/dashboards related to superior risk selection, risk assessment and risk management.
• To help data evidence-based decision-making for the business to enable better understanding and management of the health risks.
• The role requires a good understanding of Health Insurance domain in India and various drivers of profitability.
• Responsible to ensure that the organization has a high visibility on the performance of the products and the portfolio consistently, generating relevant/actionable insights, draw attention to key trends and areas of concern, help evolve solutions and enable implementation across various functions.
• Creating a strong foundation key data points required for the above analysis would be a key responsibility.
• Creating high visibility of health insurance performance indicators to senior management/ key stakeholders
• Perform analysis for monthly/quarterly discussion with stakeholders & highlighting inferences, actionable insights and share recommendations for corrective/preventive action & enable implementation of agreed actions

Key Areas of analytics

• Claim ratio, incidence rates across channels, products, locations, agents, partners etc.
• Claim analytics – across products, benefits, bill components, customer & provider segments
• Underwriting: consistent monitoring of nature of risk on-boarded vs claim outcomes to support improvements in risk selection process

Build and strengthen data foundation:

• Ensure maintenance and easy availability of quality data in SAS-enabled analytics environment that can be readily used to perform regular/ ad-hoc analytics
• Improve scope and quality of data collected/captured/made available for analysis
• Create and maintain supporting documentation/ SOPs

Key Requirements - Experience & Skills

• Graduate / post-graduate. Specialization in insurance/maths/ stats/B-tech will be of advantage  years in insurance analytics
• Good knowledge of other analytics or reporting tools – SAS, SQL, PythonR, Power BI, Tableau will be useful
• Proficiency in MS Excel and PowerPoint is a must,
• Insurance/ Health Care Background will be preferable.
• Strong analytical bent of mind
• Problem-solving attitude, not bound by functional silos
• Ability to work with the ‘big picture’ of the organization in mind
• Ability to interact, collaborate and work with diverse teams