Senior Actuarial Data & Modeling Analyst

Hispanic Alliance for Career Enhancement; Georgia; Hybrid; USD 65,000 - 159,000; Full time

Benefits offered by this job

Medical

Dental

Vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking an experienced actuarial professional to design systems and models supporting Medicare Part D analyses. You will develop data sources and analytical tools, collaborate across teams to meet underwriting needs, and organize code for clarity and maintainability.

The ideal candidate has 3+ years of related experience, strong Excel, and SQL/SAS skills, and excellent communication. This full-time role includes comprehensive benefits and a performance-based bonus opportunity.

Qualifications

• Bachelor's degree (or equivalent) with a minimum of 3 years of related job experience.
• Excel expertise required.
• BigQuery, SAS or SQL experience required.
• Analytical and model-building skills required.
• Excellent written and verbal communication for technical and non-technical audiences.

Responsibilities

• Designs systems to support actuarial functions and inform decisions.
• Develops and maintains models, data sources and analytical tools for Medicare Part D actuarial work.
• Collaborates with teams to design and deliver actuarial solutions meeting underwriting needs.
• Organizes and documents code so business logic is readable and maintainable.
• Communicates results clearly to diverse audiences across the organization.

Skills

Analytical skills

Model-building

Communication skills

Excel expertise

Education

Bachelor's degree with 3+ years experience

Tools

BigQuery

SAS

SQL

Job description

CVS Health is seeking an experienced actuarial professional to design systems and models supporting Medicare Part D analyses. You will develop data sources and analytical tools, collaborate across teams to meet underwriting needs, and organize code for clarity and maintainability.

The ideal candidate has 3+ years of related experience, strong Excel, and SQL/SAS skills, and excellent communication. This full-time role includes comprehensive benefits and a performance-based bonus opportunity.