Senior Data Scientist, Retail Ops & Strategy

CVS Health Corporation; Boston (MA); On-site; USD 102,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health Corporation is seeking a Senior Decision Scientist to turn data into actionable insights for Retail Operations. You will partner with stakeholders, translate business questions into analytics, and guide data-driven product and insight initiatives.

The role requires strong quantitative skills, project leadership, and the ability to present findings clearly to leadership teams. 40 hours/week, full-time, with comprehensive benefits.

Qualifications

• 3+ years of analytics/decision science experience.
• 3+ years writing SQL for validation/analysis/troubleshooting.
• Experience managing cross-functional projects and coordinating deliverables.
• Experience creating executive-ready presentations for leadership.
• Ability to communicate technical findings to business partners.
• Proven ability to craft data-driven narratives and PowerPoint stories.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Support data validation efforts and analytics for strategic decisions.
• Manage multiple initiatives with diverse stakeholders.
• Develop executive-ready presentations and communications.
• Translate complex questions into analytical solutions and recommendations.

Skills

SQL proficiency

Data analysis

Cross-functional coordination

Executive communication

PowerPoint storytelling

Project prioritization

Narrative data storytelling

Education

Bachelor's degree in quantitative field

Tools

Power BI

Tableau

MicroStrategy

Plotly

Python

Jira

Job description

CVS Health Corporation is seeking a Senior Decision Scientist to turn data into actionable insights for Retail Operations. You will partner with stakeholders, translate business questions into analytics, and guide data-driven product and insight initiatives.

The role requires strong quantitative skills, project leadership, and the ability to present findings clearly to leadership teams. 40 hours/week, full-time, with comprehensive benefits.