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.

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.

Principal Analytics Architect – Decision Science

Key skills