Senior Data & Analytics Developer (Actuarial/Finance)

CVS Health; United States; Remote; USD 65,000 - 173,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health is seeking a data professional to develop and maintain databases, data sources and analytics tools for actuarial, finance and medical economics teams. You will work across Commercial, Medicare and Pharmacy data to deliver actionable insights.

The role requires strong SQL/SAS skills, Python and cloud experience, plus the ability to communicate results clearly to cross-functional partners. A Bachelor's degree is required and full-time hours apply.

Qualifications

• 3+ years in SQL or SAS with analytical and model-building skills.
• Strong written and verbal communication for technical and non-technical audiences.
• Cloud-based environment experience and Web-based query tools a plus.
• Knowledge of claims data within sources from ACAS, HRP and QNXT platforms.
• Experience with Commercial, Medicare, Pharmacy data.
• Python, GCP BigQuery and Mainframe experience a plus.
• Bachelor's degree required or equivalent experience.

Responsibilities

• Develop and maintain databases, data sources, and analytical tools for actuarial, finance, and medical economics.
• Collaborate with teams to design and deliver solutions meeting actuarial, finance and underwriting needs.
• Organize and document code so that business logic is easy to locate, read, and update.
• Clearly communicate results of analyses to a variety of audiences.

Skills

SQL

SAS

Strong communication

Cloud experience

Knowledge of claims data

Experience with Commercial/Medicare/Ph

Education

Bachelor's degree or equivalent

Tools

SAS-EG

VBA

Cloud-based tools

Web-based query tools

Python

GCP BigQuery

Mainframe

Job description

CVS Health is seeking a data professional to develop and maintain databases, data sources and analytics tools for actuarial, finance and medical economics teams. You will work across Commercial, Medicare and Pharmacy data to deliver actionable insights.

The role requires strong SQL/SAS skills, Python and cloud experience, plus the ability to communicate results clearly to cross-functional partners. A Bachelor's degree is required and full-time hours apply.