Senior Performance Analytics Consultant focusing on Auto Bodily Injury analytics for insurance claims. Analyzing trends and collaborating with leaders to deliver actionable insights and drive business decisions.
Responsibilities
Ability to identify and drive meaningful improvement within the Auto Bodily Injury Claims organization, focusing on severity management, litigation strategies, and customer experience.
Opportunity to connect newsworthy macro trends to auto BI claim trends and operational performance (e.g., medical inflation, rising attorney involvement, evolving regulatory environments, and demographic shifts impacting injury patterns).
Drive progress on the most critical initiatives in Auto BI claims through engagement in various MBR, HOTL, etc., meetings, serving as an independent assessment for initiative health and benefit realization.
Exposure to segment and actuarial leaders sharing insights at monthly collaboration meetings, including discussions on frequency/severity trends, reserve adequacy, and predictive modeling for injury outcomes.
Develop presentation material regularly reviewed by the executive leadership team, highlighting performance metrics, emerging risks, and strategic recommendations for Auto BI claims.
Requirements
Bachelor’s degree preferred; experience in data or performance analytics a plus.
Expertise in data analytics with proficiency in tools for exploration, analysis, and visualization (e.g., Snowflake, Oracle, Excel, Tableau Desktop/Server, ThoughtSpot).
Strong foundation in data analysis and AI literacy, with a commitment to continuous learning and curiosity.
Proficiency in SQL (required) for managing and manipulating large datasets; Python preferred.
Ability to collaborate with business partners to deliver actionable insights using critical thinking and strategic decision-making.
Excellent communication skills and ability to build trusted partnerships.
Skilled at managing multiple projects, prioritizing effectively, and aligning plans to business objectives.
Ability to lead without formal authority, working independently and in team environments.
Demonstrated adaptability and resilience in response to evolving operational, industry, and technological trends.
Customer-focused, translating needs into innovative, actionable solutions through problem-solving and creativity.
Proven track record of delivering innovative data solutions with measurable outcomes.
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