Altarum

Solutions to Advance Health

Senior Analytics Engineer – BI, Data Visualization

Full TimeRemoteTeam 201-500Since Altarum was founded in 1997.H1B No SponsorCompany SiteLinkedIn

Location

Virginia

Posted

86 days ago

Salary

$110.2K - $143.2K / year

Bachelor Degree5 yrs expEnglishAmazon RedshiftAWSPythonSQLTableau

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.

Job 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

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