Senior Actuarial Data & Modeling Analyst

Lehighbar; Pennsylvania; On-site; USD 65,000 - 159,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking an actuarial data analyst to design systems for actuarial functions and to develop models and tools for Medicare Part D. The role emphasizes collaboration across teams, clear communication, and well-documented code to support underwriting decisions and policy implementation.

The ideal candidate will have a bachelor's degree with at least 3 years of related experience, strong Excel and SQL skills, and proficiency with Big Query/SAS.

Qualifications

• Bachelor's degree (or equivalent) with a minimum of 3 years of job related experience.
• Expertise in Excel required.
• Expertise in Big Query, SAS, SQL or equivalent required.
• Analytical and model-building skills required.
• Outstanding written and verbal communication skills for both technical and non-technical audiences at all levels of the organization.

Responsibilities

• Designs systems to support actuarial functions and delivers recommendations and implementation for actuarial policy and processes.
• Develops and maintains models, data sources, and analytical tools used to support Medicare Part D Actuarial and Informatics.
• Collaborate and clearly communicate with various teams, leaders, and stakeholders to design and deliver solutions that meet actuarial and underwriting needs.
• Organize and document code so that business logic is easy to locate, read, and update.
• Clearly communicate analysis results to a variety of audiences.

Skills

Excel

Big Query

SAS

SQL

Analytical skills

Communication skills

Education

Bachelor's degree

Tools

Big Query

SAS

SQL

Job description

CVS Health is seeking an actuarial data analyst to design systems for actuarial functions and to develop models and tools for Medicare Part D. The role emphasizes collaboration across teams, clear communication, and well-documented code to support underwriting decisions and policy implementation.

The ideal candidate will have a bachelor's degree with at least 3 years of related experience, strong Excel and SQL skills, and proficiency with Big Query/SAS.