Data Analyst - Engineering

Overview

In this role you will support the digital development of Group Engineering, turning data into actionable insights. You will build BI dashboards and automate reporting to improve maintenance, asset management, and compliance. You’ll collaborate with Engineering, Operations, Finance and IT to drive continuous improvement and deliver digital solutions. This is a hands-on, cross-functional role with a clear impact on operational excellence and data governance. Join a team focused on transforming engineering data into value-driven decisions.

Pay / Benefits

• competitive salary
• ongoing training, development, and career progression
• generous pension scheme
• retail and leisure discounts
• holiday and travel discounts
• life cover

Responsibilities

• Build and refine Power BI dashboards that illuminate engineering performance, maintenance activity, compliance, and asset management
• Create and support Power Apps, Power Automate workflows, SharePoint sites, and Microsoft Lists to streamline processes
• Assist with developing and optimizing engineering systems (FleetWave, Dynamics 365, telematics, maintenance databases)
• Produce analyses on fleet utilisation, maintenance performance, fuel efficiency, asset reliability, operating costs, and lifecycle trends
• Identify opportunities to automate, integrate data, and adopt digital technologies to improve business processes
• Develop reporting/tools to support engineering projects, capital investments, and continuous improvement
• Maintain data integrity across asset records, compliance docs, and financial information to governance standards
• Collaborate with internal teams and external suppliers to deliver effective digital solutions

Key requirements

• Full UK Driving Licence
• Strong experience with Microsoft Power Platform
• Proven ability to develop Power BI reports and dashboards
• Experience with Power Apps, Power Automate, SharePoint, and Microsoft Lists
• Experience analysing engineering, fleet, maintenance, or operational data
• Strong analytical skills with reporting and process improvement experience
• Experience working with multiple business systems and large datasets
• Collaborative
• Proactive
• Analytical mindset
• Power BI
• Power Apps
• Power Automate

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