LexisNexis Risk Solutions is looking to improve their life insurance services and make financial protection more accessible for everyone by leveraging data, analytics, and health intelligence.
Requirements
- Experience or interest in healthcare insurance, data analysis, or coding (e.g., ICD-10, SNOMED, Rx data) is welcome but is not required.
- Possess excellent analytical skills.
- Demonstrate attention to detail and the ability to work collaboratively in a team environment.
- Showcase openness to learning and contributing in a professional matrix environment.
- Pursuing a bachelor’s degree in business, risk management, public health, marketing, math, statistics, or a related field
Responsibilities
- Collaborate with team members across the Life Vertical, Analytics, and Product Management groups to support ongoing projects.
- Support projects that enhance our understanding of medical conditions by identifying and organizing key data points from publicly available resources.
- Develop recommendations for integrating various types of health data (e.g., diagnosis codes, procedures, lab results, social and prescription history) to improve our product offerings.
- Expand and update our competitive analysis of the life insurance market, including research on industry trends, social media presence, thought leadership, partnerships, and recent changes in leadership or hiring.
- Analyze and highlight standard and unique features of life insurance solutions, identifying areas of opportunity or potential risk for the business.
- Work closely with analytics experts and product managers to ensure findings are accurate, actionable, and contribute to real-world business decisions.
Other
- Be a current student pursuing a bachelor’s degree with a graduation date of May 2027.
- Possess excellent communication skills.
- Demonstrate attention to detail and the ability to work collaboratively in a team environment.
- Showcase openness to learning and contributing in a professional matrix environment.
- Relocation assistance is not provided.
