Requirements

• 3-5 years of experience in a data analyst or business intelligence role, ideally within procurement, real estate, or a similarly complex commercial environment
• Power BI: Advanced proficiency in building enterprise-grade dashboards and reports, including DAX measures, calculated columns, row-level security (RLS), and paginated reports. Experience with Power BI Service, deployment pipelines, and dataflows
• Microsoft Fabric: Hands-on experience with Microsoft Fabric components including Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Notebooks, and OneLake. Understanding of the Fabric compute model and workspace administration
• Databricks: Proficient in using Databricks for large-scale data transformation and analytics using PySpark and SQL. Experience with Delta Lake, Unity Catalog, and cluster configuration
• Power Automate: Ability to design and build automated business workflows using Power Automate (cloud flows), including integration with Microsoft 365, SharePoint, Teams, and third-party connectors
• SQL: Strong command of SQL for data extraction, transformation, and analysis across relational databases (SQL Server, Azure SQL, Synapse)
• Demonstrated experience working with large, complex datasets and building robust data models (star schema, snowflake schema)
• Experience with Azure cloud services including Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure DevOps
• Familiarity with data visualisation best practices and UX principles for dashboard design
• Understanding of procurement processes including strategic sourcing, supplier management, contract management, and P2P cycles
• Commercial real estate sector knowledge is advantageous, including awareness of property management, construction, FM, and asset lifecycle data

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