Senior Actuarial Data & Modeling Analyst

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Paid time off

Retirement savings options

Wellness programs

Other resources

Job summary

CVS Health is seeking an experienced actuarial professional to design systems supporting actuarial functions and to deliver policies and processes enhancements. The role focuses on building models, data sources, and analytical tools for Medicare Part D, and requires clear communication with diverse stakeholders across the organization.

The ideal candidate will have strong Excel, BigQuery, SAS, and SQL skills, plus proven analytical and reporting abilities.

Qualifications

• Bachelor's degree or equivalent with a minimum of 3 years of related job experience.
• Expertise in Excel required.
• Expertise in BigQuery, 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.
• Delivers recommendations and implementation for actuarial policy and processes.
• Constructs risk management analysis to inform decision making.
• Develops and maintains models, data sources, and analytical tools for Medicare Part D Actuarial and Informatics.
• Communicates results clearly to stakeholders across the organization.

Skills

Excel

BigQuery

SAS

SQL

Analytical skills

Communication skills

Education

Bachelor's degree

Job description

CVS Health is seeking an experienced actuarial professional to design systems supporting actuarial functions and to deliver policies and processes enhancements. The role focuses on building models, data sources, and analytical tools for Medicare Part D, and requires clear communication with diverse stakeholders across the organization.

The ideal candidate will have strong Excel, BigQuery, SAS, and SQL skills, plus proven analytical and reporting abilities.