Automotive BOM Analyst – Engineering Data & Validation

Jonathan Lee Group

Gaydon

On-site

GBP 33,000 - 45,000

Full time

13 days ago

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Job summary

Jonathan Lee Group is seeking a BOM Analyst – Engineering Data at its Gaydon site. The role focuses on building, validating and maintaining Bills of Material and related engineering data across vehicle programmes and plants.

The ideal candidate will be analytical, highly organized and comfortable handling complex information in a fast-paced automotive environment. Strong Excel skills and effective communication are essential.

Qualifications

  • Strong analytical and methodical approach to complex data
  • Excellent attention to detail and quality focus
  • Good working knowledge of Microsoft Excel
  • Ability to analyse information, identify discrepancies and resolve issues
  • Good organizational and planning skills

Responsibilities

  • Complete data validation checks in line with programme requirements
  • Review outputs and analyse data to identify issues and inconsistencies
  • Support teams in resolving issues identified through validation
  • Run data extracts and validate outputs for accuracy and completeness
  • Produce reports using approved engineering data
  • Validate and freeze programme complexity data at gateways and milestones
  • Support release activities and ensure data quality
  • Manage multiple tasks within a demanding programme environment
  • Collaborate with engineering, programme and cross-functional teams to maintain data quality

Skills

Analytical thinking
Attention to detail
Excel proficient
Communication skills
Organizational skills

Tools

Microsoft Excel

Job description

Jonathan Lee Group is seeking a BOM Analyst – Engineering Data at its Gaydon site. The role focuses on building, validating and maintaining Bills of Material and related engineering data across vehicle programmes and plants.

The ideal candidate will be analytical, highly organized and comfortable handling complex information in a fast-paced automotive environment. Strong Excel skills and effective communication are essential.

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