Senior Healthcare Population Health Data Analyst

Marsh McLennan Agency; Atlanta (GA); Híbrido; USD 100.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hybrid work environment

Generous time off

Tuition reimbursement and professional

Stock purchase opportunities

Charitable contribution match programs

Descripción de la vacante

Marsh McLennan Agency (MMA) is seeking a Senior Population Health Data Analyst to translate complex healthcare data into actionable insights, develop data narratives, and build intuitive dashboards that support population health strategy and clinical decision-making.

You will collaborate with clinical, population health, account management, HR and finance teams to deliver data-driven recommendations for employer plan optimization and cost control.

Formación

• Bachelor's degree in a quantitative or health-related field, or equivalent experience.
• 7+ years of healthcare data analysis with claims-level data and population health metrics.
• Proficiency in SQL, Python or R for data extraction, transformation and analysis.
• Experience building dashboards and visualizations (Tableau, Power BI, Looker).
• Familiarity with consulting data warehouse platforms (Springbuk, Cotiviti, Cedargate).
• Strong written and verbal communication for non-technical audiences.
• Detail-oriented with focus on data quality and accuracy.
• Ability to manage multiple priorities and work independently or in teams.
• U.S. work authorization on a permanent basis without sponsorship.

Responsabilidades

• Medical and Pharmacy Claims Data Analysis to identify patterns and opportunities.
• Data storytelling and narrative development translating findings into business insights.
• Client-facing presentations to stakeholders, clinicians, payers, and boards.
• Dashboard development and visualization to enable KPI tracking and trend monitoring.
• Ad hoc queries and rapid data analysis requests with timely, contextual answers.
• Cohort analysis and segmentation to benchmark metrics against peers.
• Data quality assurance and validation with cross-source reconciliation.

Conocimientos

SQL

Python

R

Tableau

Power BI

Looker

Data storytelling

Cohort analysis

Data quality

Communication

Multitasking

U.S. work authorization

Educación

Bachelor's degree in Mathematics, Statistics, Health Information Management, or related field

Herramientas

Springbuk

Cotiviti

Cedargate

Databricks

Snowflake

EHR systems

Descripción del empleo

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 meeting you.

Valuable Benefits.

We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work.

Some benefits included in this role are:

• Generous time off, including personal and volunteering


• Tuition reimbursement and professional development opportunities


• Flexible hybrid work environment


• Charitable contribution match programs


• Stock purchase opportunities

To learn more about a career at MMA, check us out our website or flip through recruiting brochure .

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Who You Are Is Who We Are.

We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting [e-mail]

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