Analytics Engineer

• Own dbt projects across public health, behavioral health, Medicaid, maternal/child health, and SDOH domains.
• Create and manage semantic models, data contracts, macros, and versioned transformations.
• Define and govern reusable metrics: dimensions, denominators, time logic, risk adjustment, and composite measures.
• Build star schemas and conformed dimensions optimized for Power BI, including RLS and deployment pipelines.
• Work closely with Data Platform Engineers to ensure pipelines are analytics-ready and performant.
• Lead design and delivery of executive-ready dashboards using Power BI, with strong UX and accessibility (Section 508).
• Build dashboards in Power BI (primary) with optional support for Tableau/Looker.
• Translate complex methods—equity stratifications, quasi-experimental results, small-area estimation, NLP outputs—into policy-ready visuals.
• Create ML explainability dashboards (SHAP, LIME, bias metrics, drift/calibration).
• Partner with creative and UX teams to produce visually compelling and context-appropriate designs.
• Implement rigorous validation and BI QA (dbt tests, performance testing, dashboard monitoring).
• Maintain a centralized metrics catalog, semantic dictionary, and visualization standards.
• Manage BI versioning, documentation, and data lineage in alignment with federal requirements.
• Develop Power BI themes, navigation patterns, KPI templates, and reusable dbt + BI starter projects.
• Develop and deliver training for Analytics Engineering and BI best practices.
• Provide pairing sessions, workshops, and visualization coaching across divisions.
• Publish accelerator packages (dbt bundles, semantic models, Power BI templates) to improve delivery speed.
• Instrument BI usage analytics and run structured feedback cycles with stakeholders.
• Time-to-dashboard ≤ 4 weeks from modeled data to stakeholder review.
• Dashboard adoption, usage, and stakeholder satisfaction.
• Increased metric standardization and catalog coverage.
• Reuse of templates and semantic models across ≥3 divisions.

Senior Analytics Engineer – BI, Data Visualization

Data Solutions Engineer

Senior Analytics Engineer

Analytics Engineer

Senior Analytics Engineer