Senior Analytics Engineer – BI & Data Visualization

Altarum is a nonprofit organization focused on improving the health of individuals with fewer financial resources. They are seeking a Senior Analytics Engineer – BI & Data Visualization to translate complex data into actionable insights for decision-makers, while leading the design and delivery of data visualizations across various health domains.

Responsibilities:

• 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

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 discipline
• 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)