Senior Asset Data Analyst

Overview

In this role, you will safeguard asset data quality across the Device Lifecycle Management services for Computacenter. You’ll analyse data from ServiceNow, SAP and other sources to identify issues and drive improvements that boost operational efficiency, financial transparency and compliance. You’ll partner with operations, finance, technology and customers to ensure trusted asset records throughout their lifecycle. This is a global, cross-functional role with a strong focus on data integrity and automation to deliver measurable outcomes.

Responsibilities

• Lead onboarding of new customer accounts ensuring high-quality asset data from day one
• Analyse and reconcile data across ServiceNow, SAP, warehouse systems, partner platforms and customer CMDBs
• Investigate and resolve data discrepancies, exceptions and lifecycle issues
• Maintain accurate asset records including ownership, location, status and financial information
• Validate key asset attributes such as serial numbers across lifecycle touchpoints
• Support billing, forecasting and financial reconciliation activities
• Ensure end-to-end asset lifecycle data integrity from onboarding to end-of-life
• Support compliance, audit and reporting requirements
• Provide day-to-day support for asset and data queries
• Build strong relationships with customers and cross-functional stakeholders
• Identify opportunities for automation and continuous improvement

Key requirements

• Experience with asset, configuration or service data in an enterprise or managed services environment
• Strong data analysis, reconciliation and root-cause analysis skills
• Hands-on ServiceNow experience, ideally CMDB or Asset Management
• Exposure to SAP or similar ERP platforms
• Advanced Microsoft Excel skills and confidence presenting insights in PowerPoint
• Strong attention to detail and a proactive, solution-focused approach
• Excellent communication and stakeholder management skills
• Ability to work effectively in a global, collaborative environment
• Strong organisation and time management skills
• Interest in AI, automation and continuous improvement
• Excellent written and spoken English (minimum CEFR B2)
• Flexibility and willingness to travel globally

• Excellent communication
• Stakeholder management
• Proactive, solution-focused
• ServiceNow (CMDB or Asset Management)
• SAP or ERP exposure
• Advanced Excel

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