Accountable Care Data Analyst

Gundersen Health System•La Crosse, WI

1d•Hybrid

About The Position

Emplify Health is hiring an Accountable Care Data Analyst to join our Population Health team. This position works closely with operational, clinical, and technical/analytical teams to gain deep knowledge of populations we serve by utilizing all available data and using this knowledge to set improvement goals based on demand and capacity ensuring all initiatives have a clear aim, detailed timeline, and measured results. The Population Health Data Analyst is responsible for collecting, analyzing, and interpreting health data to support population health management initiatives. This role involves working with large datasets to identify trends, measure outcomes, and provide actionable insights to improve health outcomes and reduce costs across patient populations. Turns enterprise clinical, claims, and financial data into insights that drive performance across all value-based contracts. Supports contract strategy and clinical integration projects with robust analytics.

Requirements

Bachelor’s degree in healthcare, public/population health, statistics, data science, or related field
4-7 years of experience in a healthcare setting; with emphasis on care transformation, analytics, and Value Based Care or Population Health redesign
Experience with MSSP, Medicare Advantage, and commercial risk arrangements, to ensure a deeper understanding of total cost of care and contract performance analytics across value-based arrangements.
Valid Driver's License Required
Strong data visualization skills using tools such as Power BI, Tableau, or similar BI platforms

Responsibilities

Aligns with organizational strategies and identifies populations as aligned with BGHS.
Collaborates with Information Technology Digital Services (ITDS) to identify and collate disparate data about the people and populations we serve.
Analyzes information and gains deep knowledge of the populations we serve.
Identifies and prioritizes population health opportunities to maximize the effectiveness of our care and optimize the use our precious resources.
Aligns priorities with our value-based contracts.
Supports teams through the 9-step process for populations leading the knowledge of the populations and measurement of outcomes steps.
Identifies trends/opportunities/gaps and assess the benefit of addressing each opportunity.
Proposes recommendations for system initiatives for identified opportunities and gaps.
Works with IT Analysts to design and build technical solutions for managing populations.
Assists enterprise teams in understanding value-based care data analysis findings.
Utilizes knowledge of clinical data management to assist clinical teams in clinical process improvement.
Fields requests for value-based care analysis; assesses whether requests are aligned with system priorities; delivers on aligned requests.
Acts as liaison to support teams for IT and analytical needs.
Creates and maintains dashboard development, forecasting, and scenario modeling.
Provides executive-level reporting and analytics, with hands-on technical knowledge on how to build datasets, run complex queries, and create dashboards and recurring reports.
Analyze value-based contract performance (MSSP, MA, commercial) across cost, utilization, quality, and risk trends.
Develops and maintains dashboards for TCOC / PMPM trends, Utilization (ED, IP, SNF, post-acute), Quality metrics (Stars, HEDIS, MSSP quality), RAF/risk performance
Supports forecasting, scenario modeling, and benchmarking.
Integrates multiple data sources (EHR, claims, payer reports, quality platforms, market tools) into cohesive analytics.
Develops enterprise reports and visualizations (Excel, Power BI, Tableau, etc.) for leadership, board, and strategic planning.
Standardizes population health metrics across regions.
Collect, clean, and analyze population health data from various sources including electronic health records (EHR), claims data, and public health databases.
Develop and maintain dashboards, reports, and visualizations to communicate findings to clinical and administrative teams.
Identify health trends, risk factors, and disparities within patient populations to inform targeted interventions.
Collaborate with clinical teams, care managers, and leadership to support population health programs and quality improvement initiatives.
Use statistical methods and predictive modeling to assess program effectiveness and forecast health outcomes.
Ensure data accuracy, integrity, and compliance with privacy regulations such as HIPAA.
Stay current with industry best practices, tools, and technologies related to population health analytics.