Data Analyst - CAD

Critical Project Resourcing Ltd
Euston, UK
13 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Compensation
£41,400.0 - £48,702.0
Working hours
Regular working hours

Tech stack

3d Models Computer-Aided Design CAD Data Exchange Cyber Security Interoperability Power BI Data Management

Job description

Data Analyst - CAD - London/Hybrid | £41,400-£48,702 + Benefits We are recruiting for a Data Analyst - CAD to join a team delivering a major transport infrastructure development. You will be responsible for assessing, analysing and assuring CAD data received from consultants, suppliers and delivery partners, ensuring it meets contractual, technical and Digital Engineering standards. You will manage data exchanges through the Common Data Environment (CDE), identify data quality issues and determine whether CAD data should be accepted or rejected., * Analyse and validate CAD against contractual and project standards.

  • Manage supplier data exchanges through the CDE, with a focus on CAD data.
  • Identify, report and investigate data quality issues, including root-cause analysis.
  • Support compliance with Digital Engineering standards, specifications and procedures.
  • Work closely with Digital Engineering teams, delivery teams, suppliers and other stakeholders.
  • Contribute to data assurance, interoperability and continuous improvement activities.

Requirements

  • Extensive experience working with CAD and 3D model data within infrastructure, construction or engineering.
  • Strong understanding of how CAD models are produced and managed across the project lifecycle.
  • Experience with Bentley, Power BI and IFC.
  • Knowledge of BIM processes, ISO 19650 and relevant industry standards.
  • Strong understanding of data quality, data assurance and interoperability.
  • Excellent stakeholder engagement and communication skills.
  • Experience working collaboratively within multidisciplinary project teams.
  • Knowledge of data protection, information security and data management principles.
  • An understanding of automation, scripts and processes would be advantageous.

This is an excellent opportunity to join a major infrastructure programme and play a key role in ensuring the quality, compliance and integrity of engineering and CAD data throughout the project lifecycle.

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