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Senior Decision Scientist - Consumer Analytics - Job Opportunity at CVS Health

Wellesley, USA
Full-time
Senior
Posted: February 9, 2025
Hybrid
USD 92,700 - 222,480 per year

Benefits

Comprehensive 401(k) with company matching
Premium healthcare coverage including medical, dental, and vision
Disability and life insurance protection
Employee stock purchase plan with discounted rates
Employee discount program for CVS products and services
Progressive PTO and holiday policy
Professional development and education assistance
Well-being programs and health initiatives

Key Responsibilities

Lead data-driven decision making through advanced analytics and insights generation
Design and execute sophisticated A/B testing programs with iterative refinement
Develop and track strategic KPIs aligned with corporate financial objectives
Create compelling data narratives and visualizations for executive stakeholders
Drive cross-functional collaboration with marketing, engineering, and data science teams
Implement best practices in coding, version control, and documentation
Identify and capitalize on business opportunities through predictive analytics

Requirements

Education

Bachelor's degree in Statistics, Business Analytics, Economics or related discipline (Master's preferred)

Experience

3+ years in business analytics or analytical consulting

Required Skills

Advanced SQL and Python (Pandas) Statistical analysis and A/B testing ROI analysis Presentation and communication skills Problem solving Business consulting
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Sauge AI Market Intelligence

Industry Trends

Healthcare analytics is experiencing rapid growth due to increased focus on personalized medicine and preventive care Integration of retail and healthcare data analytics is becoming crucial for customer experience optimization Rising demand for predictive analytics in healthcare cost management and patient outcome improvement

Salary Evaluation

The offered range is competitive for the Northeast region, with the upper band reflecting the senior nature of the role and CVS's market position. The wide range suggests room for negotiation based on experience.

Role Significance

Typically part of a 5-10 person analytics team, with dotted-line relationships to various business units
Senior individual contributor role with significant influence on strategic decision-making and business outcomes

Key Projects

Consumer behavior analysis for retail-healthcare integration Customer segmentation and personalization initiatives Healthcare cost optimization programs Digital transformation analytics

Success Factors

Deep understanding of healthcare retail business models Ability to translate complex analytics into actionable business insights Strong stakeholder management and communication skills Experience with large-scale data analysis and visualization

Market Demand

Very high demand, driven by healthcare digital transformation and the growing importance of consumer behavior analytics in healthcare retail

Important Skills

Critical Skills

Advanced analytics skills for large-scale healthcare data Strategic thinking and business acumen Stakeholder management and communication abilities

Beneficial Skills

Healthcare industry knowledge Retail analytics experience Change management skills Machine learning expertise

Unique Aspects

Rare opportunity to work at the intersection of retail and healthcare analytics
Access to diverse data sources across pharmacy, retail, and healthcare services
Direct impact on healthcare accessibility and affordability initiatives

Career Growth

2-4 years in role before advancement, depending on impact and organizational growth

Potential Next Roles

Analytics Director Head of Consumer Analytics Chief Data Officer Analytics Strategy Executive

Company Overview

CVS Health

CVS Health is a leading integrated healthcare company combining retail pharmacy, health insurance, and healthcare services

Fortune 500 company with significant market presence in healthcare retail and managed care
Major employer in the Northeast with strong national footprint
Corporate environment with emphasis on healthcare innovation and data-driven decision making
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