Senior Decision Scientist, Retail Operations Analytics

Cvshealth; United States; Remote; USD 102,000 - 204,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

Paid time off

Retirement plan

Job summary

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

The role requires rigorous data validation, leadership across multiple initiatives, and the ability to present executive-ready findings to stakeholders.

Qualifications

• 3+ years in analytics, decision science, or related fields.
• 3+ years writing SQL for validation, analysis, and troubleshooting.
• Experience managing cross-functional projects and coordinating stakeholders.
• Experience developing executive presentations and communications.
• Ability to convey technical concepts to business partners and leadership.
• Proven ability to develop data-driven narratives and PowerPoint presentations.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Translate business questions into analytical solutions and recommendations.
• Support data validation efforts and manage multiple initiatives.
• Develop executive-ready presentations and communicate findings.
• Collaborate with stakeholders across product, analytics, and technology.
• Navigate ambiguity and drive projects forward for data-driven outcomes.

Skills

SQL queries

Data validation

Cross-functional coordination

Executive communication

Storytelling with data

Project management

Analytical storytelling

Prioritization

Education

Bachelor's degree in Mathematics

Tools

SQL

Power BI

Tableau

Python

Plotly

Jira

Job description

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

The role requires rigorous data validation, leadership across multiple initiatives, and the ability to present executive-ready findings to stakeholders.