AI & Data Consultant: BI & Analytics for Manufacturing

adapa Group; Wiener Neudorf; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Benefits dieser Stelle

Interesting work in growth company

adapa Academy and growth opportunities

Group/international projects

Zusammenfassung

adapa Group is expanding its BI & Data team in Austria, providing powerful reporting and analytics to support sustainability and operational excellence. You will build Power BI dashboards, optimize SQL queries, and explore AI-driven insights across manufacturing and supply chain contexts.

The role emphasizes collaboration with business users, data modeling, and leveraging Microsoft Fabric/Azure data platforms to create competitive advantages for global brands.

Qualifikationen

• 2+ years of experience in BI, Data Analytics, or similar role.
• Experience with Microsoft Fabric, Azure, or similar data platforms.
• Hands-on experience with Power BI, including data modeling and DAX.
• Experience with Python or AI-related technologies.
• Experience in manufacturing or supply chain is appreciated.
• Knowledge of ERP systems such as Dynamics 365, Business Central, NAV is appreciated.

Aufgaben

• Collaborate with business users across functions and document requirements.
• Translate business needs into reporting and analytics solutions.
• Develop and maintain Power BI reports and dashboards.
• Create and optimize SQL queries and support data modeling and warehousing.
• Identify opportunities to use AI and automation to improve analytics.

Kenntnisse

Business Intelligence

Power BI

SQL

Python

ERP knowledge (Dynamics 365/Business中央

Tools

Power BI

SQL

Python

Microsoft Fabric/Azure

Dynamics 365/Nav/Business Central

Jobbeschreibung

adapa Group is expanding its BI & Data team in Austria, providing powerful reporting and analytics to support sustainability and operational excellence. You will build Power BI dashboards, optimize SQL queries, and explore AI-driven insights across manufacturing and supply chain contexts.

The role emphasizes collaboration with business users, data modeling, and leveraging Microsoft Fabric/Azure data platforms to create competitive advantages for global brands.