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CVS Health logo
CVS Health

Bringing our heart to every moment of your health.

Principal Analytics Architect – Decision Science

ArchitectArchitectFull TimeRemoteLeadTeam 10,001+Since 1963H1B No SponsorCompany SiteLinkedIn

Location

Idaho + 2 moreAll locations: Idaho | Illinois | Texas

Posted

60 days ago

Salary

$144.2K - $288.4K / year

Seniority

Lead

Bachelor Degree8 yrs expEnglishSQL

Job Description

Principal Analytics Architect – Decision Science

CVS Health

• 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.

Job Requirements

  • 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

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

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