Data Analyst

Overview

As a Data Analyst, you will support the Head of Client Analytics by turning data into actionable insights. You will collect, clean, and combine data from multiple sources to build market profiles across products, sectors, and regions. You’ll produce reports, dashboards, and datasets for consultancy clients, and present stories in clear formats. You will help shape data quality, definitions, and transfer protocols, and contribute to data-sharing and architecture initiatives. This hybrid role combines analytical work with cross-functional collaboration to enable strategic decisions.

Pay / Benefits

• 3pm finish on Friday
• Hybrid working
• 25–30 days holiday
• Birthday day off
• Volunteering days
• Pension and Life Assurance

Responsibilities

• Collect, analyse and prepare data to produce reports, dashboards, and datasets for consultancy clients
• Build market profiles from granular to macro levels across products, sectors and regions
• Merge data from Barbour ABI, client data, and external sources to create a verified market view
• Ensure data inputs have clear definitions, verification, quality checks, and adhere to transfer protocols and update cycles
• Present data and insights in multiple formats (Word, PowerPoint, datasheets, dashboards)
• Support specification, testing and launch of new data-related products
• Contribute to developing data architecture and data-sharing with clients and European partners
• Support internal analytics team to develop reporting frameworks and tools

Key requirements

• Data management with large datasets (queries, cleansing, verification)
• Strong data analysis skills to derive insights
• Experience with data visualization tools (Power BI, Tableau, Google Analytics)
• Research experience with data and statistics (including company data and official reports)
• Analytical, questioning mindset
• Excellent attention to detail
• Ability to work independently and in a team
• Experience in trends analysis and market forecasting
• Interest or experience in the built environment, economy and consumer trends

• Analytical thinking
• Attention to detail
• Independent worker
• Power BI
• Tableau
• Google Analytics

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