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

Preferred Skills

Data and analytics experience: Three or more years in data analytics, data engineering, database development, predictive modeling, or a related field; bachelor’s degree or equivalent practical experience.

Databricks and BI expertise: Advanced hands-on experience with Databricks and Power BI, including production workloads, large datasets, data warehousing, troubleshooting, and performance optimization; familiarity with Jira Cloud, Immuta, or Atlan is a plus.

Data engineering and AI/ML: Strong SQL and Python skills with experience in data transformation, reconciliation, predictive modeling, forecasting, regression analysis, machine learning, and developing or deploying AI/ML models and agents.

Governance and solution delivery: Practical experience with data quality, metadata, lineage, stewardship, controlled access, system dependencies, testing, version control, and translating business needs into reliable data solutions.

Architecture and operational insight: Experience designing data products, lakehouses or warehouses, APIs, workflows, or integrations; automotive, engineering, laboratory, manufacturing, DFSS, or related operational experience is preferred. Relevant Databricks, Power BI, cloud, data engineering, or AI/ML certifications are a plus.



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.)

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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 .

Accommodations

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