Actuary, Analytics/Forecasting
HumanaFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 3+ years of experience in data analysis, forecasting, or business intelligence, plus 2+ years of hands-on experience with at least one programming language like SQL, Python, or PySpark. Additional requirements include demonstrated experience building automated, scalable analytics solutions in cloud-based platforms such as Snowflake, Databricks, or Foundry.
Key skills include SQL, Python, PySpark for developing data pipelines, and experience with platforms like Snowflake and Palantir Foundry. A strong understanding of the full data analysis lifecycle and the ability to build performance dashboards are also required.
This information is not specified in the job description.
This information is not specified in the job description.
Strong candidates demonstrate a growth mindset, technical curiosity, passion for continuous improvement, and the proven ability to learn new tools quickly. Experience leading projects from ideation to implementation and mentoring junior colleagues is highly valued.
Comprehensive pharmacy and healthcare services
CVS Health operates a large network of retail pharmacies and walk-in medical clinics across the United States, providing a variety of health-related products and services. Their offerings include prescription medications, over-the-counter health products, and beauty items, as well as pharmacy benefits management and specialty pharmacy services. CVS Health's integrated business model allows them to serve individual consumers, businesses, and communities effectively, with a focus on improving health outcomes and reducing healthcare costs. Unlike many competitors, CVS Health combines pharmacy services with medical care, making it easier for patients to access quality healthcare. The company's goal is to enhance access to healthcare and support individuals in achieving better health.