Data Analytics Specialist - Quality Operations

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 into 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.



GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.



About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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