Analytics Solutions Architect — Power BI & AI

chaptershealth; United States; Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Chapters Health is seeking an Enterprise Analytics Specialist to translate diverse business needs into scalable analytics solutions. The role focuses on designing semantic models, dashboards, and automated reporting using Power BI, Microsoft Fabric, and SQL across enterprise data sources.

You will work with clinical, operations, and IT stakeholders to understand workflows, identify pain points, and deliver governance-enabled analytics that inform timely decisions and improve patient outcomes.

Qualifikationen

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Healthcare Informatics, or related field.
• 3–5 years in business intelligence, analytics development, data engineering, reporting, or related technical discipline.
• Experience with hospice or post-acute care analytics is highly valued when paired with strong analytical aptitude and business context.
• Experience with Microsoft Power BI and/or Fabric, including data modeling, semantic models, dashboards, reports, and dataflows.

Aufgaben

• Design, build, and support enterprise analytics solutions turning complex business needs into clear insights.
• Develop scalable semantic models, dashboards, reports, dataflows, and automated solutions using Power BI, Fabric, SQL.
• Partner with business users to understand workflows and opportunities where analytics can improve outcomes.

Kenntnisse

Power BI

Microsoft Fabric

SQL

Data modeling

Analytics

Ausbildung

Bachelor's degree in CS/IS/Data Analytics/Healthcare Informatics

Tools

Power BI

Microsoft Fabric

SQL

Jobbeschreibung

Chapters Health is seeking an Enterprise Analytics Specialist to translate diverse business needs into scalable analytics solutions. The role focuses on designing semantic models, dashboards, and automated reporting using Power BI, Microsoft Fabric, and SQL across enterprise data sources.

You will work with clinical, operations, and IT stakeholders to understand workflows, identify pain points, and deliver governance-enabled analytics that inform timely decisions and improve patient outcomes.