| Position | Asset Data Analyst |
| Posted | 12 Jan 2026 |
| Expired | 11 Feb 2026 |
| Company | Charlton Recruitment |
| Location | Birmingham | GB |
| Job Type | Full Time |
Latest job information from Charlton Recruitment for the position of Asset Data Analyst. If the Asset Data Analyst vacancy in Birmingham matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
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Asset Information Analyst
Programme: High Speed Two (HS2)Location: Birmingham (3 days per week in the office)Salary: £36,857 £43,355 + 12% pension + private health + 25 hCareer Progression: Next step £50k £60k + package)Closing Date: 21 January
Are you a Data Analyst or Data Coordinator with experience in Asset Information, BIM, or infrastructure environments with strong stakeholder management skills?
Do you have a strong grounding in data quality and data management principles, and enjoy working with a wide range of stakeholders to improve the quality of information being delivered?
We re looking for an Asset Information Analyst to join the Asset Information Team on the High Speed Two (HS2) programme, working within the wider and highly regarded Digital Engineering function.
The RoleThis is a data-focused analytical role, centred on assuring the quality of asset information produced by HS2 s main contractors and their design consultancies.
You ll work across the programme, supporting the assurance of asset data from design and construction through to handover, ensuring information is complete, accurate, and compliant with defined Digital Engineering standards.
Working closely with contractors, internal information managers, and technical specialists, you ll analyse asset data submissions, report on quality issues, and play a key role in the data acceptance and assurance process.
Key ResponsibilitiesA genuine opportunity to work at the forefront of Digital Engineering (BIM) on Europe s largest infrastructure programme, contributing to the development of the golden thread and helping shape one of the UK s first large-scale digital twins for infrastructure. #J-18808-Ljbffr
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