Data Research Analyst

Overview

As a Data Research Analyst in Cushman & Wakefield’s European Research team, you will own property market datasets and transform raw data into actionable insights for investment, leasing, and strategic decisions. You’ll collaborate with researchers, brokers, and senior stakeholders to deliver high-quality reporting, dashboards, and client-ready outputs. This role combines data integrity with automation and continuous improvement, spanning local and global projects to support decision-making and market understanding.

Responsibilities

• Maintain and enhance property market and related datasets for accuracy and consistency
• Collect, cleanse, and manage aggregate and transaction-level data from internal and external sources
• Support development and maintenance of datasets with Research teams across Europe
• Prepare and share data outputs for internal stakeholders, brokers, clients, and leadership
• Assist in market trend analysis and dissemination of findings
• Create and maintain dashboards, reports, and visualisations to support decisions
• Track and report key market fundamentals (rents, leasing activity, vacancy, yields, sales volumes)
• Respond to data requests with timely, accurate information
• Collaborate with global teams to standardise data practices and reporting methods
• Identify opportunities to improve data processes, automation, and data quality
• Ensure data governance and integrity across outputs

Key requirements

• Experience in data analysis, research analysis, market intelligence, or similar data-focused role
• Advanced Excel skills (data manipulation, lookups, pivot tables, reporting)
• Experience with databases and SQL for data extraction and management
• Experience creating dashboards/visualisations; Power BI is advantageous but not required
• Comfort with cloud-based data platforms and large datasets
• Strong attention to detail and proactive data quality checks
• Excellent communication skills to explain data and insights to technical and non-technical audiences
• Strong organisational skills and ability to manage multiple priorities
• Interest in emerging technologies, automation, and AI tools
• Collaborative mindset with experience working across teams and locations
• Experience in real estate, property, financial services or related sector is beneficial but not essential

• collaboration
• communication
• proactivity
• Excel (advanced)
• SQL
• Power BI

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