Graduate Engineer: Data Analytics for Manufacturing

Brose Group; Coventry; On-site; GBP 28,000 - 34,000; Full time

Job summary

Brose Group is seeking a driven engineer to collect and analyse production, quality and engineering data. You will prepare reports and dashboards to communicate findings and support decisions.

The role involves driving process improvements, root-cause investigations, and cross-functional collaboration to deliver on-time actions while maintaining quality standards. The successful candidate will hold an engineering degree, display strong numerical and communication skills, and apply Lean/Six Sigma

Qualifications

• Degree in Engineering or related field with analytical capability.
• Experience handling and interpreting data with numerical accuracy.
• Familiarity with Lean Manufacturing, CI or Six Sigma principles.
• Experience with engineering drawings, technical docs and quality tools.

Responsibilities

• Collect, organise and analyse production, quality and engineering data to support decisions.
• Prepare reports, dashboards and presentations to communicate findings.
• Support projects to improve processes, quality, efficiency and costs.
• Assist with root-cause investigations using structured methodologies.
• Participate in continuous improvement initiatives in production and engineering.
• Develop and maintain engineering documentation and process instructions.
• Collaborate with cross-functional teams to monitor progress and deadlines.
• Ensure compliance with health, safety, environmental and quality policies.

Skills

Data analysis

Numerical ability

Communication

Lean / Six Sigma

Education

Engineering degree (Engineering, Manufacturing, Mechanical, Industrial, Data Analytics)

Job description

Brose Group is seeking a driven engineer to collect and analyse production, quality and engineering data. You will prepare reports and dashboards to communicate findings and support decisions.

The role involves driving process improvements, root-cause investigations, and cross-functional collaboration to deliver on-time actions while maintaining quality standards. The successful candidate will hold an engineering degree, display strong numerical and communication skills, and apply Lean/Six Sigma