Company:
Marsh McLennan Agency
Description:
Senior Population Health Data Analyst
Our not-so-secret sauce.
Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. The industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Senior Population Health Data Analyst at Marsh Agency.
Marsh Agency helps people and organizations manage risk and prepare for the future through insurance, benefits, retirement, and wealth management strategies. We believe in hands-on proactive service, data-driven insights, and understanding how global events can impact local decisions. As a trusted partner, we show our clients what’s possible and guide them during every step of their journey.
The Planning & Analytics for Total Health (PATH) team at Marsh McLennan Agency combines real-time data insights with clinical expertise to drive informed decision-making in healthcare. By transforming employee benefits data into actionable, prescriptive strategies, PATH helps you enhance plan performance, control costs, and promote healthier workforces. We gather and integrate data on employee demographics, compensation, benefits enrollment, claims history, and survey feedback into a centralized system, providing a comprehensive view of your workforce. This holistic analysis enables us to identify opportunities to optimize benefits—such as eliminating underused programs, boosting engagement, and addressing specific employee needs—ensuring you maximize the value of your benefits investment.
A day in the life.
We are seeking a Senior Population Health Data Analyst to join our Planning & Analytics for Total Health team. In this role, you will translate complex healthcare data into actionable insights, develop compelling data narratives, and create intuitive dashboards that drive population health strategy and clinical decision-making. You will collaborate across clinical, population health, account management, HR, and finance teams to deliver data-driven insights and recommendations for employer plan optimization.
Some additional responsibilities include:
- Medical and Pharmacy Claims Data Analysis
Leverage deep working knowledge of medical and pharmacy claims-level data to identify patterns, anomalies, and opportunities. Understand data governance, coding standards, and the clinical implications of claims-based metrics.