Senior Decision Scientist: Data-Driven Health Operations Leader

CVS Health Corporation; Massachusetts; Hybrid; USD 102,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings

Job summary

CVS Health Corporation is seeking a Senior Decision Scientist to translate business questions into analytical solutions and provide insights to Retail Operations. You will partner with stakeholders, product, and technical teams to deliver data-driven recommendations.

The role requires strong analytics, SQL, and communication skills, plus experience presenting to leadership and managing multiple initiatives in a fast-paced environment.

Qualifications

• 3+ years in analytics, decision science, BI, data science, or related field.
• Experience writing SQL for data validation, analysis, and troubleshooting.
• Experience managing cross-functional projects and coordinating stakeholders.
• Ability to develop executive presentations for leadership audiences.
• Strong ability to communicate complex analytics to non-technical partners.

Responsibilities

• Translate business questions into analytical solutions and recommendations.
• Support data validation efforts and manage multiple initiatives.
• Develop executive-ready presentations for leaders.
• Communicate analytical findings to technical and non-technical audiences.
• Bridge business and technical stakeholders to ensure data-driven products.

Skills

Analytics experience

SQL queries

Cross-functional projects

Executive presentations

Data storytelling

Communication skills

Education

Bachelor's degree in Mathematics, Statistics, Data Science, Economics, Engineering, Computer Science, Information Systems, or related field

Tools

Power BI

Tableau

Python

SQL

Jira

Job description

CVS Health Corporation is seeking a Senior Decision Scientist to translate business questions into analytical solutions and provide insights to Retail Operations. You will partner with stakeholders, product, and technical teams to deliver data-driven recommendations.

The role requires strong analytics, SQL, and communication skills, plus experience presenting to leadership and managing multiple initiatives in a fast-paced environment.