Senior Actuarial Data Analyst

Hispanic Alliance for Career Enhancement; Oregon (WI); 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

other resources

Job summary

CVS Health is seeking an actuarial analyst to design systems that support actuarial functions and to develop models, data sources, and analytic tools for Medicare Part D.

The role requires collaboration with multiple teams, clear documentation of code for readability, and the ability to communicate results to varied audiences.

The ideal candidate has a Bachelor's degree (or equivalent) with 3+ years of related experience, strong Excel, and experience with BigQuery, SAS, and SQL.

Qualifications

• Bachelor's degree (or equivalent) with at least 3 years of related experience.
• Excel expertise required.
• Experience with BigQuery, SAS, SQL or equivalent.
• Analytical and model-building abilities.
• Excellent written and verbal communication across levels.

Responsibilities

• Designs systems to support actuarial functions and policy.
• Develops and maintains models, data sources, and analytical tools for Medicare Part D.
• Collaborates with teams to meet actuarial and underwriting needs.
• Organizes and documents code for readability and maintenance.
• Communicates results clearly to diverse audiences.

Skills

Analytical skills

Model-building

Communication skills

Education

Bachelor's degree (or equivalent)

Tools

BigQuery

SAS

SQL

Excel

Job description

CVS Health is seeking an actuarial analyst to design systems that support actuarial functions and to develop models, data sources, and analytic tools for Medicare Part D.

The role requires collaboration with multiple teams, clear documentation of code for readability, and the ability to communicate results to varied audiences.

The ideal candidate has a Bachelor's degree (or equivalent) with 3+ years of related experience, strong Excel, and experience with BigQuery, SAS, and SQL.