3 days a week on site – Soho
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.
The Data Analyst’s role:
This is a high-ownership position where you’ll have significant impact on solutions that shape real estate data analysis. You’ll work within 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.
Data Analyst Key Responsibilities:
- 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
Data Analyst Requirements:
- 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?
#J-18808-Ljbffr…