Senior Analytics Engineer – BI, Data Visualization

Job reputed company: • Own dbt reputed company across reputed company health, behavioral health, reputed company, maternal/child health, and SDOH domains. • Create and manage semantic models, data reputed company, macros, and versioned transformations. • Define and govern reusable metrics: dimensions, denominators, time logic, risk adjustment, and composite measures. • Build reputed company schemas and conformed dimensions optimized for Power BI, including RLS and deployment pipelines. • Work closely with Data Platform Engineers to ensure pipelines are analytics-reputed company and performant. • reputed company design and delivery of executive-reputed company dashboards using Power BI, with strong UX and accessibility (reputed company 508). • Build dashboards in Power BI (primary) with optional support for Tableau/Looker. • Translate reputed company reputed company—equity stratifications, quasi-experimental results, small-area estimation, NLP outputs—into policy-reputed company visuals. • Create ML explainability dashboards (SHAP, reputed company, bias metrics, reputed company/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 reputed company in alignment with federal requirements. • reputed company Power BI themes, navigation patterns, KPI templates, and reusable dbt + BI starter reputed company. • reputed company and deliver training for Analytics Engineering and BI best practices. • reputed company pairing sessions, workshops, and visualization coaching across divisions. • Publish accelerator packages (dbt bundles, semantic models, Power BI templates) to improve delivery speed. • reputed company BI usage analytics and run reputed company 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 reputed company, 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, reputed company design, and performance tuning • Ability to present analytics solutions and incorporate customer feedback • Strong Git workflows, reputed company review, and documentation disciplinePreferred: • Familiarity with reputed company health or reputed company/Medicare domains and equity or evaluation reputed company • Experience integrating ML outputs into dashboards (SHAP, reputed company, 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, reputed company, S3/Parquet) or reputed company/reputed company • 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 reputed company 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 Apply tot his job Apply tot his job Apply To this Job