Senior Analytics Engineer – BI, Data Visualization

Job Description: • 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. Requirements: • 5–8 years as an Analytics Engineer, BI Lead, or similar role • Strong proficiency in SQL and dbt (models, tests, macros, documentation, CI/CD) • Mastery of Power BI, including DAX, Power Query (M), semantic models, dataflows, RLS, and deployment pipelines • Strong experience with data modeling, dimensional design, and performance tuning • Ability to present analytics solutions and incorporate customer feedback • Strong Git workflows, code review, and documentation disciplinePreferred: • Familiarity with public health or Medicaid/Medicare domains and equity or evaluation methods • Experience integrating ML outputs into dashboards (SHAP, drift, feature importance) • Python/R for analysis or geospatial mapping (ArcGIS/QGIS) • Knowledge of FHIR-to-analytics models, USCDI+, or TEFCA concepts • Experience with AWS-based data sources (Redshift, Athena, S3/Parquet) or Databricks/Snowflake • Experience developing BI/analytics training or design systems • Power BI for Government experience (strongly preferred, not required) Benefits: • Competitive Medical, Dental and Optical plans • Generous Paid Time Off, 8 Company observed holidays plus 3 floating holidays • Tuition Assistance • 401K Plan (3% employer contribution plus opportunity for gainsharing) • Life, AD&D & Disability coverage • A flexible work environmentApply Now Apply Now