Data Analyst

Data Analyst

Contract: Operations Performance
Location: London, E14 9SH - hybrid
Hours of work: 37.5
Contract Type: Permanent

Our client, a leading provider of facilities services in the UK, is seeking a Data Analyst to support the maintenance of digital building models and associated cost models that underpin service delivery across the business.

This role is focused on creating performance benchmarks and practical recommendations that help drive productivity and operational efficiency. The Data Analyst will play a key role in ensuring costing data is accurate, consistent and effectively used to support decision-making across Operations, Finance and Commercial teams.

The position involves building and maintaining high‑quality costing models, safeguarding data integrity, and providing clear analysis and insight. Through robust benchmarking and productivity analysis, the role supports the optimisation of cleaning and related services across a diverse portfolio.

Job Description

The Data Analyst will ensure the accuracy, consistency and effective use of costing data within a global costing tool. The role supports operational performance by delivering reliable data, clear insights and well-documented costing methodologies aligned to global standards.

Key Responsibilities

• Build, maintain and update site and contract cost models within the global costing tool
• Accurately enter, validate and cleanse costing input data from multiple sources
• Monitor data integrity through regular checks, reconciliations and exception reporting
• Produce standard and ad hoc costing reports for Operations, Finance and Commercial teams
• Support performance benchmarking and productivity analysis across the business
• Work with stakeholders to ensure data is consistent, well-structured and aligned to global standards
• Document assumptions, methodologies and data changes to maintain a clear audit trail
• Provide clear analysis and insight to support the optimisation of cleaning and related services

Person Specification

Essential

• Strong data skills, including transformation, migration, automation and Excel
• High attention to detail and accuracy when working with large datasets
• Well organised, with the ability to manage multiple tasks and deadlines
• Clear communicator, able to explain data and insights to non-technical colleagues
• Curious, proactive and keen to learn new tools and processes

Desirable

• Experience within Facilities Management
• Experience using Power BI or similar business intelligence tools
• Experience working with APIs