Data Analytics Specialist - Quality Operations

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

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.

We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

The Lab Quality Engineer is a recognized technical contributor and resource in Engine Dyno Testing. The position requires the ability to address the broadest and most complex problems.

What You’ll Do

• Provide guidance to the engineering team for the instrumentation, equipment and software required for compliant testing

• Provide guidance and support to laboratory operations and quality teams to relative to the processes and procedures required to ensure compliant testing

• Validate compliance of the measurement instrumentation, diagnostics and calibrations

• Validate compliance of the test procedure and data collected for each required test or test sequence

• Collaborate with teams to solve problems, improve FTQ

• Collaborate with teams to develop tools and processes to improve efficiency

• Lead innovation activities in the Quality Department

• Complete Quality systems related activities

• Train team members on tools and processes

• Maintain documents related to Standard Work for projects

• Review data and perform statistical analysis

• Maintain status of department, projects, and Business Plan Deployment related tasks

• Maintain quality reports related to laboratory and operations, issuing monthly reports for status

• Perform data acquisition and database management using various PC computer software packages and keep records of status and changes

• Refer to the employee training documents maintained and held by the supervisor for specifics as to required job training

Your Skills & Abilities (Required Qualifications)

• Bachelors Degree - Engineering degree preferred, other fields of study combined with appropriate experience may be considered

• Red X, OPEX, DFSS certifications

• Working knowledge of automotive vehicle systems

• Knowledge of and application of statistical methods if applying data analysis

• Working knowledge of lean engineering / quality systems and strong critical thinking skills

• People skills to work effectively with others including global teams and strong oral/written communication skills to effectively interface with GPG leadership

What Will Give You a Competitive Edge (Preferred Qualifications)

• 3+ years in analytics, data engineering, database development, or predictive modeling; experience with Immuta, Atlan, automotive or operational settings, DFSS, and relevant certifications is a plus. Related platforms such as Tableau, Snowflake, Microsoft Fabric, AWS, Google Cloud, Collibra, and Salesforce are also valued.

• Demonstrated experience collecting, integrating, cleaning, reconciling, and validating data, and building, troubleshooting, and optimizing production Databricks pipelines and analytical workloads with advanced SQL, Python/PySpark, Delta Lake, and large datasets; applies testing and version control to maintain reliable code.

• Strong predictive analytics expertise, including forecasting and regression; feature preparation, method selection, assumptions, backtesting, holdout validation, leakage prevention, interpretation, and ongoing model monitoring.

• Hands‑on experience developing, evaluating, and maintaining AI/ML models and agents for data exploration, knowledge retrieval, workflow automation, and decision support, with appropriate access controls and human review.

• Expert Power BI skills, including semantic models, DAX, Power Query, dashboards, and Copilot‑enabled functionality, alongside practical data governance and stewardship experience across quality, ownership, metadata, lineage, and controlled access.

• Ability to partner across engineering, operations, quality, and IT; translate needs to measurable analytical outcomes; troubleshoot system and data issues; build or support applications, APIs, workflow tools, and integrations for operational users; support documentation, data planning, migration, and architecture; and manage delivery in Jira Cloud.