Hybrid CAD Data Analyst: Quality & BIM Data Lifecycle

Hybrid CAD Data Analyst: Quality & BIM Data Lifecycle

Full-Time 30150 - 36850 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse CAD data and run validation checks to ensure compliance.
  • Company: Major rail organisation with a focus on innovation and quality.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on data usability.
  • Why this job: Join a dynamic team and make an impact in the rail industry.
  • Qualifications: Experience in CAD data analysis and strong attention to detail.

The predicted salary is between 30150 - 36850 Β£ per year.

Randstad Cpe London is seeking two CAD Data Analysts to join a major rail organisation.

You will focus on data behind CAD and models, running validation checks and ensuring submissions meet specifications and minimum data requirements.

Location is London or Birmingham with hybrid working: 3 days in the office per week, 2 from home.

You will collaborate with contractors and Information Management teams, analysing data structures and metadata to ensure compliance and usability across the

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Hybrid CAD Data Analyst: Quality & BIM Data Lifecycle employer: Randstad Cpe London

Randstad CPE London is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the public-sector procurement space. With a strong commitment to employee development, you will have access to numerous growth opportunities while working in the vibrant city of Milton Keynes, known for its supportive community and modern amenities. Join us to make a meaningful impact through strategic sourcing and enjoy the benefits of a rewarding career in a regulated environment.

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Contact Details:

Randstad Cpe London Recruitment Team

We think you need these skills to ace Hybrid CAD Data Analyst: Quality & BIM Data Lifecycle

Communication Skills
Problem-Solving Skills
Attention to Detail
Automation
SQL
Python
Data Engineering