£425 Per day
Outside
Undetermined
London Area, United Kingdom
Summary: The Data Analyst role focuses on managing and transforming market data within a fast-paced, start-up-like environment in London. The position involves utilizing tools such as Azure SQL and Power BI to enhance data workflows and dashboards. The analyst will play a crucial role in ensuring data quality and governance while collaborating with engineering teams and external data providers. This contract position offers significant ownership over data products and the opportunity to influence data strategy across the business.
Key Responsibilities:
- 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.
Key Skills:
- 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.
Salary (Rate): £425 daily
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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.