Data Modeler
Pubblicato il 17-08-2026 - Msc Cruises in Napoli
Job Purpose
Design and manage scalable analytical data structures across core analytics platforms (Power BI, Microsoft Fabric, SAP BusinessObjects), ensuring consistent, high-performance, and business-ready data for reporting and analysis.
Key Accountabilities
- Build and maintain Power BI semantic models (datasets) and design SAP BO universes (measures, dimensions, joins, and contexts) that are intuitive, governed, and enable effective self-service reporting.
- Implement business logic using DAX and SQL (measures, KPIs), ensuring consistent, reusable calculations across reports and certified semantic assets.
- Manage dataset structure, metadata, and naming standards across Power BI datasets and SAP BO universes.
- Organise and structure data within the Fabric Lakehouse, maintaining clean, analytics-ready layers optimised for consumption in Power BI.
- Perform data shaping and transformation using Power Query and Microsoft Fabric components, integrating multiple sources into a unified analytical layer.
- Optimise dataset performance, refresh times, and query efficiency,
monitoring and troubleshooting issues across the Fabric and Power BI layers.
- Define optimal data access patterns (Import, DirectQuery, Direct Lake) and support composite models, balancing performance, scalability, and data freshness.
- Establish and enforce naming conventions and data standards, ensuring consistency across the Lakehouse, Warehouse, Power BI models, and SAP BO universes.
- Contribute to data lineage transparency and documentation, and to the evolution and rationalisation of analytical platforms and data models.
- Collaborate with data engineers, BI developers, and analysts, translating business requirements into scalable analytical data solutions.
Qualifications
- 2-4 years of experience in data modelling, business intelligence, or analytical data environments, with proven hands‑on experience in Power BI semantic models and DAX in complex enterprise environments.
- Experience wor