[Hiring] Senior Analyst, Healthcare Economics @Curana Health, Inc.
Role Description
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.
Essential Duties & Responsibilities
• Advanced Analytics & Predictive Modeling
• 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
• Healthcare Economics & Program Performance
• 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
• Data Engineering & Visualization
• 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
• AI & Automation
• 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
• Cross-Functional Collaboration & Solution Development
• 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
Qualifications
• 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
Requirements
• 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
Apply Now
Apply Now
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.
Essential Duties & Responsibilities
• Advanced Analytics & Predictive Modeling
• 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
• Healthcare Economics & Program Performance
• 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
• Data Engineering & Visualization
• 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
• AI & Automation
• 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
• Cross-Functional Collaboration & Solution Development
• 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
Qualifications
• 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
Requirements
• 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
Apply Now
Apply Now