Data Analyst

A leading European logistics real estate firm is seeking a Data Analyst. Operating across a vast network of warehouse spaces and transportation hubs, this established company is launching a cutting‑edge, startup‑style project that will transform how real estate data is structured, visualized, and leveraged across the business.

This is a high‑ownership position where you'll have significant impact on solutions that shape real‑estate data analysis. You'll work with in a small, innovation‑focused team of 3‑4 people maximum, requiring genuine engagement with the project rather than just task execution. This isn't about moving data around – we need someone who understands what the data means and can work independently without constant guidance.

• Manage Excel‑based datasets through SharePoint and Power BI dataflows, ensuring smooth transitions from raw inputs to structured outputs
• Identify inefficiencies in current workflows and propose enhancements to reduce manual effort and streamline operations
• Monitor data errors, develop error‑handling protocols, and maintain governance standards with comprehensive audit trails
• Build transformation logic using Power Query and SQL, supporting evolution of the medallion architecture (Bronze, Silver, Gold layers)
• Work closely with the Data Engineering team and liaise with external data providers to resolve discrepancies and integration challenges
• Support Power BI dashboard development, ensuring visualizations meet business needs for underwriting and strategic analysis

• Strong proficiency in Excel, Power Query, SQL, and Power BI – the core toolkit for this role. Experience with data modeling and ETL processes essential
• Clear, efficient communicator who makes complex topics simpler, not more complicated. We value clarity over technical rambling
• High work ethic with genuine ownership mentality. Must see value in the project and understand how everything ties together, not just tick boxes
• Comfortable taking on full tasks independently without step‑by‑step guidance. We need someone who grasps concepts quickly and won't require constant explanation
• Real estate data experience welcomed but not essential – we can provide background to engaged candidates who show willingness to learn
• Preference for iterative, practical solutions over over‑engineering with latest technologies. Focus on doing the project right rather than using cool tech

Are you a detail‑oriented data professional who thrives in startup environments within established companies? Do you excel at understanding data meaning and working with genuine ownership?