BOM Analyst

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

PI EDS Analyst -37712619 (Product Introduction – Electrical Distribution Systems)

Gaydon
£28.53 per hour Umbrella
Inside IR35
Contract

An opportunity has arisen for a BOM Analyst – Engineering Data to join the Technical Product Development function of a major automotive manufacturer at its Gaydon site.

Working within the Release Operations team, you will support the construction, validation, release and ongoing maintenance of Bills of Material and associated engineering programme data across multiple vehicle programmes and manufacturing plants.

This is a data-focused engineering role, suited to someone who is analytical, highly organised and comfortable working with complex information within a fast-paced automotive environment.

The Role

As a PI EDS Analyst/BOM Analyst, your responsibilities will include:

  • Completing full and ad-hoc data validation checks in line with programme requirements.
  • Reviewing outputs and analysing data to identify potential issues and inconsistencies.
  • Supporting engineering and programme teams in resolving issues identified through validation activities.
  • Running data extracts and validating outputs for accuracy and completeness.
  • Producing reports using approved and validated engineering data.
  • Validating and freezing programme complexity data at key programme gateways and milestones.
  • Supporting engineering release activities and ensuring data is delivered accurately and to the required quality standards.
  • Managing multiple tasks and priorities within a demanding programme environment.
  • Working collaboratively with engineering, programme and cross-functional teams to resolve issues and maintain data quality.
About You

We are looking for someone with a strong analytical and methodical approach who can work confidently with complex data and manage multiple priorities.

You will ideally have:

  • Previous experience working with Bills of Material, engineering data or product configuration.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail and a quality-focused approach.
  • Good working knowledge of Microsoft Excel.
  • The ability to analyse information, identify discrepancies and follow issues through to resolution.
  • Strong organisational and planning skills.
  • The ability to work independently while also contributing effectively within a wider team.
  • Good communication skills, including the ability to explain complex information clearly.
  • Experience working within an engineering, manufacturing or automotive environment would be an advantage.
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