Data Analyst

Data Analyst – Market Data & Analytics Location: London/Soho one day a week Employment Type: Contract £425 a day - Outside IR35 - 6 months Are you ready to take ownership of a fast-evolving data product in a start-up-style environment? We’re looking for a Data Analyst to join an innovative market data initiative, helping shape how real estate data is structured, visualized, and leveraged across the business. This is a unique opportunity to work with cutting-edge tools like Azure SQL, Power BI, and the Power Platform, with significant influence over workflows, dashboards, and data strategy. What You’ll Do: • Manage the ingestion and transformation of Excel-based datasets via SharePoint and Power BI dataflows. • Maintain consistency in formatting, templates, and field definitions across multiple data sources. • Identify inefficiencies and implement process improvements to reduce manual effort. • Monitor data quality, handle errors, and develop dashboards to ensure accuracy and governance. • Build and maintain data transformation logic using Power Query and SQL within a multi-layered architecture. • Collaborate with engineering teams and external data providers to resolve discrepancies and integration challenges. • Support the creation of actionable Power BI dashboards for business insights, underwriting, and strategic decision-making. What We’re Looking For: • Strong experience with Excel, Power Query, SQL, and Power BI. • Knowledge of ETL processes, data modeling, and multi-layered architecture. • Familiarity with real estate data structures, SharePoint, and data warehouse environments. • GIS experience is a plus, with potential to expand into geospatial analysis. • A detail-oriented, proactive problem solver with strong communication skills and a passion for data integrity. Why You’ll Love This Role: • Significant ownership over the data products you help build. • Work in a dynamic, fast-paced, start-up-style environment. • Collaborate with a talented team on innovative solutions impacting real estate analytics. • Opportunity to shape processes, dashboards, and data strategy from the ground up.