Company Highlights

• For over 70 years, this company grown into the premier independent provider of actuarial and risk management services to the insurance industry and self-insured organizations worldwide. Their groundbreaking work in employee benefits and financial risk management has led to significant innovations in retirement planning.
• With strong core values of Quality, Integrity, and Opportunity, this leading firm is one of the healthcare industry’s most trusted solutions for healthcare intelligence.
• An award recipient of the Insurance ERM Americas Awards recognizing enterprise risk management leaders in the Americas.

Benefits and Features

• Industry-Leading Compensation Package
• Health, Dental, Vision Coverage
• Flexible Spending Accounts for dependent care, transportation, medical expenses
• 401(k) with company match and Profit Sharing
• Paid Time Off (PTO)
• Voluntary benefit opportunities
• Employee Engagement Program

Your Role with the Company

• The Sr. Healthcare Data Analytics works with a team developing an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities.
• This role focuses on healthcare data and analysis tasks that require quantitative reasoning skills, knowledge of analytic tools and technologies, and an interest in the US healthcare industry.
• The Sr. Healthcare Data Analytics will work primarily with healthcare consultants and the strategic analytics team by conducting complex analyses on large datasets with statistical analyses as needed, and collaborate on analytic design, feasibility testing, and sensitivity tests.
• This role performs ad hoc analyses of healthcare data using Azure Databricks, SQL Server, and other tools.

Community Highlights

• The Sr. Healthcare Data Analytics can be based out of the offices in either Atlanta or New York.
• Both locations have a thriving metropolis filled with sports, entertainment, and world-class dining.
• Rich in culture with direct access to international travel.

Background Profile

• 5 years of experience analyzing medical insurance claims with SAS, SQL, R, or Python
• 5 years of experience leveraging administrative claims data to support healthcare projects (such as MarketScan, Medicare files, or similar administrative claims databases)
• Hands on project-management experience on claims-based analytic projects and/or experience serving as a subject matter expert on the set up and coding of claims-based analytic projects
• Familiarity with PySpark and/or Databricks
• Bachelor’s degree in data analytics or data science