Senior Healthcare Population Health Data Analyst

Company: Marsh McLennan Agency Description: Senior Population Health Data Analyst 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 MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh (NYSE: MRSH). 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. • Data Storytelling & Narrative Development Synthesize complex datasets into clear, compelling narratives that connect data findings to business outcomes. Articulate 'so what' and 'now what' for each analysis, ensuring insights lead to actionable recommendations. • Client-Facing Presentations Present findings to internal and external stakeholders, including clinical leaders, payers, and board members. Tailor presentations to audience sophistication, communicate uncertainty appropriately, and respond to challenging questions with confidence and clarity. • Dashboard Development & Visualization Design and build self-service dashboards that enable stakeholders to track KPIs, monitor trends, and drill into details independently. Choose appropriate visualizations and ensure dashboards are maintainable, performant, and aligned with business logic. • Ad Hoc Queries and Analysis Requests Respond rapidly to urgent data requests from leadership and clinical teams. Prioritize competing demands, validate assumptions with requestors, and deliver accurate, timely answers with appropriate caveats and context. • Cohort Analysis & Segmentation Define, build, and analyze cohorts to assess clinical, financial, and population health performance. Apply clinical knowledge to cohort logic, incorporate evolving inclusion/exclusion criteria, and benchmark cohort metrics against peers and historical trends. • Data Quality Assurance & Validation Establish and enforce rigorous data quality standards. Perform validation checks, reconcile data across sources, document known limitations, and work with data engineers and vendors to resolve data issues and improve data integrity over time. Our future colleague. We’d love to meet you if your professional track record includes these skills: • Bachelor's degree in Mathematics, Statistics, Health Information Management, or related field; equivalent professional experience considered • 7+ years of experience in healthcare data analysis, with demonstrated expertise in claims-level data and population health metrics • Proficiency in SQL, Python, or R for data extraction, transformation, and analysis • Experience building dashboards and data visualizations (Tableau, Power BI, Looker, or similar) • Experience with consulting data warehouse platforms (Springbuk, Cotiviti, Cedargate or similar) • Strong written and verbal communication skills; proven ability to present analytical findings to non-technical and clinical audiences • Detail-oriented with demonstrated commitment to data accuracy and quality assurance • Ability to manage multiple priorities, meet tight deadlines, and work independently as well as in collaborative teams • Legal work authorization to work in the U.S. on a permanent and ongoing basis without the need for sponsorship now or in the future. These additional qualifications are a plus, but not required to apply: • Master's degree in a quantitative or healthcare-related discipline • Experience with integrated delivery networks, health plans, or consulting firms serving healthcare clients • Familiarity with ICD-10, CPT, and other clinical coding standards • Knowledge of HEDIS, STARS, or other quality and performance metrics • Experience with healthcare data platforms (e.g., Databricks, Snowflake) or EHR systems • Track record of leading or mentoring junior analysts We know there are excellent candidates who might not check all these boxes. Don’t be shy. If you’re close, we’d be very interested in me