Senior Analyst, Healthcare Economics

Posted 48ds ago

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Job Description

Senior Analyst utilizing SQL and Python to analyze healthcare data and develop predictive models. Collaborating cross-functionally to enhance healthcare outcomes for senior populations and institutions.

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.

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.

Benefits:

  • Competitive salary
  • Professional development opportunities