Senior Power BI & Fabric Analytics Engineer

EDIS Group; Cincinnati (OH); Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

EDIS Group in Cincinnati, OH is seeking a Business Intelligence & Data Analytics Developer to design and deploy Power BI-based dashboards, KPIs, and data models. You will build reliable analytics solutions, support data integration, and enable self-service reporting for business teams.

The role focuses on creating semantic models, star schemas, and DAX calculations, while ensuring data accuracy, governance, and performance across Fabric and Azure data services.

Qualifikationen

• Experience building enterprise dashboards and collaborating with business stakeholders.
• Strong SQL, DAX, and Power Query skills for data modeling and reporting.
• Experience designing semantic models and star schemas for scalable analytics.

Aufgaben

• Develop and maintain Power BI dashboards, reports, and scorecards.
• Partner with stakeholders to understand reporting needs and define KPIs.
• Build and optimize semantic models and dimensional schemas.
• Create and support data pipelines, transformations, Lakehouses, and Warehouses in Fabric.
• Integrate data from business systems, APIs, and cloud sources.
• Ensure data accuracy, performance, security, and governance.
• Support self-service reporting, testing, and deployment of analytics solutions.

Kenntnisse

SQL

DAX

Power Query

Dimensional modeling

Power BI semantic models

Enterprise dashboards

Stakeholder communication

Ausbildung

Bachelor's degree or equivalent experience

Tools

Microsoft Fabric

Azure data platform

Data Pipelines Gen2

Lakehouse

Warehouse

OneLake

Jobbeschreibung

EDIS Group in Cincinnati, OH is seeking a Business Intelligence & Data Analytics Developer to design and deploy Power BI-based dashboards, KPIs, and data models. You will build reliable analytics solutions, support data integration, and enable self-service reporting for business teams.

The role focuses on creating semantic models, star schemas, and DAX calculations, while ensuring data accuracy, governance, and performance across Fabric and Azure data services.