Quality Analytics Engineer – Data & Insights

General Motors Company; Pontiac (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

General Motors Company is seeking a Lab Quality Engineer to be a technical contributor in Engine Dyno Testing. The role requires addressing broad, complex problems and guiding instrumentation, equipment, and software to ensure compliant testing across laboratory operations and quality teams.

You will validate instrumentation, procedures, and data, collaborate across teams to solve problems, and lead innovation within the Quality Department.

Qualifications

• Bachelor's degree in Engineering or related field with applicable experience.
• Red X, OPEX, DFSS certifications.
• Working knowledge of automotive vehicle systems.
• Applied statistics for data analysis.
• Lean engineering / quality systems and strong critical thinking.

Responsibilities

• Guide instrumentation, equipment, and software for compliant testing.
• Support lab operations and quality teams for compliant testing processes.
• Validate instrumentation, diagnostics, and calibrations.
• Verify test procedures and data for required tests.
• Collaborate with teams to solve problems and improve FTQ.
• Develop tools and processes to improve efficiency.
• Lead quality department innovation activities.
• Maintain Standard Work documents for projects.
• Review data and perform statistical analysis.
• Manage department and project status reporting.

Skills

Lean engineering

Statistical methods

Communication

Global collaboration

SQL/Python

Education

Bachelor's degree in Engineering

Tools

Tableau

Snowflake

Microsoft Fabric

AWS

Google Cloud

Databricks

Power BI

Collibra

Job description

General Motors Company is seeking a Lab Quality Engineer to be a technical contributor in Engine Dyno Testing. The role requires addressing broad, complex problems and guiding instrumentation, equipment, and software to ensure compliant testing across laboratory operations and quality teams.

You will validate instrumentation, procedures, and data, collaborate across teams to solve problems, and lead innovation within the Quality Department.