Data Modeler

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7813v9

ph3Job Purpose /h3 pDesign 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. /p h3Key Accountabilities /h3 ul liBuild 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. /li liImplement business logic using DAX and SQL (measures, KPIs), ensuring consistent, reusable calculations across reports and certified semantic assets. /li liManage dataset structure, metadata, and naming standards across Power BI datasets and SAP BO universes. /li liOrganise and structure data within the Fabric Lakehouse, maintaining clean, analytics-ready layers optimised for consumption in Power BI. /li liPerform data shaping and transformation using Power Query and Microsoft Fabric components, integrating multiple sources into a unified analytical layer. /li liOptimise dataset performance, refresh times, and query efficiency, monitoring and troubleshooting issues across the Fabric and Power BI layers. /li liDefine optimal data access patterns (Import, DirectQuery, Direct Lake) and support composite models, balancing performance, scalability, and data freshness. /li liEstablish and enforce naming conventions and data standards, ensuring consistency across the Lakehouse, Warehouse, Power BI models, and SAP BO universes. /li liContribute to data lineage transparency and documentation, and to the evolution and rationalisation of analytical platforms and data models. /li liCollaborate with data engineers, BI developers, and analysts, translating business requirements into scalable analytical data solutions. /li /ul h3Qualifications /h3 ul li2-4 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. /li liExperience working in cross‑functional environments, bridging data engineering and business analytics. /li liFluent in English, both oral and written; additional European languages are an advantage. /li liCore skills: advanced DAX; data transformation with Power Query; strong SQL and query optimisation; knowledge of Microsoft Fabric (Lakehouse and Warehouse); SAP BusinessObjects universes a strong advantage; familiarity with Dataiku and Databricks a plus. /li liBachelor’s or Master’s degree in Data, IT, Engineering, Mathematics, or related fields. /li liPerformance tuning and optimisation of analytical models and datasets. /li liSolid understanding of data architecture principles. /li liAbility to bridge technical and business requirements across data engineering and business analytics. /li liExposure to data governance practices and standards. /li /ul h3Visa Requirements /h3 pRight to work in Italy /p h3Contract /h3 ul liType of contract: Permanent /li liHybrid working model: 2 days per week remotely /li liApplicable Collective Labour Agreement (CCNL): “Addetti agli uffici ed ai terminals delle società di navigazione che esercitano l’armamento privato” – sez. personale di terra /li liGross annual salary (RAL): between €32,000 – €39,000 gross per year, paid over 14 monthly installments /li liMeal vouchers: worth €8 per on‑site working day /li /ul h3Benefits /h3 pProductivity award, Health Insurance, Learning opportunities, flexible working hours, Employee Assistance Programme, Discounts Partnerships within the MSC group. /p h3Our Commitment /h3 pWe are committed to building a future that values diverse perspectives, embraces the world beyond borders, and fosters an inclusive environment where every individual feels valued, respected and empowered to be their authentic selves. Our commitment extends to taking meaningful, measurable actions that have a long‑term positive impact on our guests, our employees and our planet. /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7813v9