Risant Health is transforming healthcare by accelerating the adoption of value-based care across community health systems. The Data & Analytics team turns complex health and financial data into clear, actionable intelligence that drives strategic, operational and clinical decision-making across Risant’s portfolio. In this role, you’ll use structured and unstructured data sources to deliver high-quality analytics aligned with key business priorities - evaluating programs, surfacing high-ROI opportunities, and creating advanced analytics solutions.
Requirements
- Experience developing in cloud-based data ecosystems and analytics pipelines (Azure Synapse, Databricks, Delta Lake) integrating claims, clinical, and unstructured data sources.
- Ability to create clear, high-impact visual summaries in modern visualization tools (e.g., Power BI).
- Familiarity with AI-augmented analytics tools (predictive modeling, generative summarization, automated segmentation) and the ability to apply them to real-world business use cases.
- Use modern coding tools and platforms (Python, R, Databricks) to develop scalable analytics, predictive models, and automation pipelines.
- Apply AI-augmented analytics (e.g., generative summaries, intelligent outlier detection, next-best-action recommendations) to accelerate insight generation.
- Develop and maintain foundational analytic tools including advanced predictive models, segmentation logic, enrichment engines and vendor data pipelines to enable consistent, AI-ready insights across systems.
- Design and automate analytic pipelines, dashboards, and evaluation templates that make insights transparent, repeatable, and actionable.
Responsibilities
- Deliver analytic products in short, iterative sprints - emphasizing speed to insight and incremental value creation.
- Use modern coding tools and platforms (Python, R, Databricks) to develop scalable analytics, predictive models, and automation pipelines.
- Apply AI-augmented analytics (e.g., generative summaries, intelligent outlier detection, next-best-action recommendations) to accelerate insight generation.
- Collaborate with informatics and engineering leaders to embed models and analytics into operational workflows and visualization tools.
- Build and evolve analytic capabilities that pinpoint cost drivers, impactable populations, and high-ROI opportunities across care settings.
- Monitor and evaluate the performance and ROI of Risant’s value-based care platform, quantifying how initiatives and products deliver measurable value.
- Develop and maintain foundational analytic tools including advanced predictive models, segmentation logic, enrichment engines and vendor data pipelines to enable consistent, AI-ready insights across systems.
Other
- Minimum of five (5) years of experience in healthcare analytics, health economics, or program evaluation, ideally within a payer, provider, or value-based care organization.
- Demonstrated experience using claims, administrative, and unstructured data sources to evaluate program performance, cost of care, and ROI.
- Understanding of key healthcare payment models and metrics (TCOC, attribution, risk adjustment, utilization).
- Familiarity with agile analytic delivery methods (sprints, backlog management, iterative delivery).
- Bachelor's degree required in Data Science, Health Economics, Computer Science, Biostatistics, or a related quantitative or healthcare analytics field.
