Senior Analyst, Healthcare Economics

Curana Health, Inc.

17d

About The Position

At Curana Health, we’re on a mission to radically improve the health, happiness, and dignity of older adults—and we’re looking for passionate people to help us do it. As a national leader in value-based care, we offer senior living communities and skilled nursing facilities a wide range of solutions (including on-site primary care services, Accountable Care Organizations, and Medicare Advantage Special Needs Plans) proven to enhance health outcomes, streamline operations, and create new financial opportunities. Founded in 2021, we’ve grown quickly—now serving 200,000+ seniors in 1,500+ communities across 32 states. Our team includes more than 1,000 clinicians alongside care coordinators, analysts, operators, and professionals from all backgrounds, all working together to deliver high-quality, proactive solutions for senior living operators and those they care for. If you’re looking to make a meaningful impact on the senior healthcare landscape, you’re in the right place—and we look forward to working with you. For more information about our company, visit CuranaHealth.com. Summary The Senior Analyst, Healthcare Economics will play a pivotal role in Curana Health’s analytics organization. This individual will use SQL, Python, Power BI, AI Foundry, and advanced modeling techniques to analyze complex healthcare datasets, evaluate program performance, and develop predictive models that proactively identify risks and opportunities across patient populations. A major focus of this role is building advanced predictive analytics to support value-based care strategies and improve patient health trajectories.

Requirements

Bachelor’s degree in Healthcare Economics, Data Science, Public Health, Statistics, or related field.
4+ years of analytics experience in healthcare, healthcare economics, or value‑based care.
Strong proficiency in SQL (2+ years of SQL experience) and Python
Experience working with healthcare claims, EHR data, or Medicare/MA/ACO datasets.
Experience developing predictive models or machine learning applications.
Excellent communication skills, including the ability to translate complex analytics into actionable insights.

Nice To Haves

Experience with Power BI
Experience with AI Foundry or other advanced AI/ML platforms.
Experience with senior living, ACOs, risk-bearing entities, or post-acute care.

Responsibilities

Design, build, and maintain sophisticated predictive models using Python, SQL and AI Foundry
Apply machine learning techniques (e.g., gradient boosting, random forests, time-series modeling) to forecast outcomes and support proactive clinical interventions.
Validate, monitor, and refine predictive models for performance and reliability.
Conduct detailed analyses of utilization, cost patterns, quality outcomes, and value‑based care program performance.
Evaluate the impact of clinical programs, pilots, and interventions using rigorous statistical methods.
Deliver insights that improve total cost of care, reduce avoidable utilization, and enhance patient outcomes.
Develop and optimize analytical datasets using SQL and Python.
Build clean, user-friendly Power BI dashboards to communicate insights to market leadership, clinicians, and executives.
Ensure consistent data standards, documentation, and governance.
Use AI Foundry and other platforms to automate reporting, enhance data pipelines, and accelerate decision‑making.
Prototype AI-driven solutions that scale predictive intelligence across the organization.
Partner with clinical, operational, and finance teams to translate analytical findings into actionable strategies.
Identify gaps, risks, and opportunities—then help design data‑driven solutions to improve outcomes and operational performance.
Present insights in a clear, compelling manner tailored to diverse audiences.