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Analytics Solutions Lead - Pharma

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States , New York

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Contract Type:
Not provided

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Salary:

142140.00 - 284280.00 USD / Year

Job Description:

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. CVS Health’s Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth and improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers. The A&BC organization is expanding its Product team and seeking an Analytics Solutions Lead to join us on this transformational journey. In this role, you will serve as a strategic partner to internal and external stakeholders, translating business needs into actionable data science requirements and delivering high-impact analytical solutions. You will lead consulting engagements, manage data science pods, and craft compelling analytical narratives that influence executive decision-making. This role will also lead program management efforts to evaluate, integrate, and deliver existing CVS Health capabilities into new customer-facing analytics solutions. This position requires a unique blend of consulting expertise, healthcare analytics knowledge, and business acumen. The ideal candidate will excel at bridging technical and business perspectives, driving adoption of data-driven strategies, and shaping the future of analytics-powered products at CVS Health. If you are passionate about leveraging data to solve real-world healthcare challenges and thrive in a fast-paced, collaborative environment, we want to hear from you.

Job Responsibility:

  • Translate business needs into clear, actionable data science requirements
  • Manage data science pods to implement analytical models tailored to pharmaceutical customer needs, leveraging advanced methodologies (e.g., predictive modeling, machine learning) where appropriate
  • Apply strong analytical capabilities to translate modeling outputs into client‑ready analyses and deliverables, with deep proficiency in Microsoft Excel and familiarity with BI/visualization tools (e.g., Power BI, Tableau)
  • Manage cross-functional program delivery by coordinating internal CVS Health stakeholders to assess feasibility of existing capabilities and integrate them into new customer-facing analytics solutions
  • Draft, refine, deliver, and communicate analytical stories to internal and external executive audiences
  • Partner with Product Management to relay key customer insights and inform broader product‑building initiatives, influencing roadmap prioritization through evidence-based recommendations
  • Scope work plans, build delivery timelines, and plan resources to execute analytical consulting engagements
  • Identify project opportunities based on data and analytics discovery and raise them effectively to business partners
  • Work cross‑functionally with product partners to identify opportunities to speed up and standardize analytics reporting outcomes
  • Demonstrate and reinforce best practices in client and business communication
  • Understand how to communicate and collaborate effectively with data science partners

Requirements:

  • 5+ years’ experience in Consulting, Program Management, Business Operations or Strategy experience
  • 3+ years’ experience in analytics consulting or management consulting, delivering project‑based outputs, including executive-level presentations and strategic recommendations
  • 3+ years’ experience with data visualization and manipulation in Excel, plus exposure to BI tools (Tableau, Power BI)
  • 2+ years’ experience working with Data Science or Data Engineering teams, with the ability to translate between technical and business stakeholders to deliver healthcare analytics and insights
  • 2+ years’ experience in program management for complex, multi-stakeholder initiatives, including internal coordination and problem-solving across enterprise teams
  • 2+ years’ experience building PowerPoint presentations with an emphasis on executive leaders and stakeholders
  • 1+ year experience in or with the healthcare industry, preferably in pharmaceutical or life sciences, with exposure to commercial, clinical, or market access analytics
  • Bachelor’s degree, preferably in STEM field (e.g., Science, Technology, Engineering, Mathematics) required

Nice to have:

  • Familiarity with medical and pharmacy claims data
  • Demonstrated proficiency in SQL
  • Exposure to predictive modeling, machine learning, or advanced statistical techniques applied to healthcare datasets
  • Strong verbal and written communication skills, with the ability to craft compelling narratives from complex data
  • Advanced degree (Master’s in Analytics, Data Science, MPH, or MBA) preferred
What we offer:
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Additional Information:

Job Posted:
April 16, 2026

Expiration:
April 27, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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