Senior Analytics Engineer – BI, Data Visualization
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- 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 discipline**Preferred:**
- 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 environment