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# Hardware Asset Management (HAM) Data Analyst - DV Cleared

- **Company:** LA International Computer Consultants
- **Location:** Basingstoke, UK
- **Salary:** £148,200
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Configuration Management Databases, Configuration Management, Data Governance, Power BI, SQL Databases, Flexera, Operational Systems, Hardware Asset Management, Servicenow
- **Published:** November 8, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-95CEA1D40E2ED03C67/

## About the Role

Proven experience in IT Asset Management, Hardware Asset Management or CMDB/Configuration Management data roles.

 - Strong data analysis, reconciliation and reporting skills.
 - Experience managing large datasets across multiple systems.
 - Hands-on experience with ServiceNow ITAM/HAM, Flexera, Snow, Ivanti or equivalent tools.
 - Advanced Excel, Power BI, SQL or equivalent data analysis skills.
 - Experience maintaining accurate, auditable hardware asset records.
 - Understanding of asset lifecycle management, procurement and financial reconciliation.
 - Knowledge of ITAM data governance, reporting and compliance requirements.
 - Strong analytical, organisational and problem-solving skills.
 - Excellent stakeholder communication and documentation skills.
 - ITIL 4 certification or higher.

## Description

Maintain accurate hardware asset records across ITAM tools, CMDBs and asset repositories.

 - Conduct data quality audits, identifying missing, duplicate and inaccurate records.
 - Reconcile asset information across procurement, finance, discovery and operational systems.
 - Develop asset data quality KPIs, dashboards and management reports.
 - Reconcile automated discovery data against authoritative asset registers.
 - Produce audit-ready reports and supporting compliance evidence.
 - Support fixed asset reconciliation, depreciation reporting and capitalisation data.
 - Maintain procurement, warranty, supplier and contract information.
 - Track hardware end-of-life and end-of-support dates.
 - Develop data standards, validation rules and governance documentation.
 - Identify opportunities to automate reconciliation and improve data quality.