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CVS Health

Principal Analytics Architect – Decision Science

CVS Health

Principal Analytics Architect designing analytical models for CVs Health. Collaborating cross-functionally and developing analytics-ready datasets to support decision science.

Posted 4/24/2026full-timeRemote • Idaho, Illinois, Texas • 🇺🇸 United StatesLead💰 $144,200 - $288,400 per yearWebsite

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Design analytical models that represent how core business processes operate across Oak Street Health.
  • Translate complex operational systems into structured, reusable analytical frameworks that support measurement, forecasting, and decision making.
  • Build and maintain Power BI semantic models that expose consistent metrics and business definitions across the organization.
  • Investigate operational data sources to understand how the business actually functions and identify opportunities to improve measurement and transparency.
  • Partner with data engineering, analytics engineering, product, and operational teams to inform upstream data requirements needed to support robust analytical models.
  • Contribute to the development of analytics-ready datasets and semantic models that can support advanced analytics, machine learning, and AI-driven decision support.
  • Develop analytical artifacts including models, metric frameworks, and reports that help the organization monitor performance and identify opportunities for improvement.

Requirements

What you’ll need
  • 8+ years of experience in analytics, decision science, data analysis, or related fields
  • Strong SQL skills and experience working with complex operational datasets
  • Experience designing analytical data models for business analysis and reporting
  • Experience building semantic models or BI datasets (Power BI preferred)
  • Ability to translate business processes into structured analytical frameworks
  • Ability to work independently in ambiguous environments and define analytical approaches without fully predefined requirements
  • Bachelor’s degree or equivalent practical experience in a quantitative, technical, or analytical discipline.

Benefits

Comp & perks
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • other resources, based on eligibility

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Hard Skills & Tools
SQLanalytical modelsdata analysisbusiness analysisreportingsemantic modelsBI datasetsadvanced analyticsmachine learningAI-driven decision support
Soft Skills
independent workproblem-solvingcommunicationcollaborationadaptabilitycritical thinkingtranslating complex systemsdefining analytical approaches
Certifications
Bachelor’s degree in quantitative discipline