Data Analytics Specialist Quality Operations - Pontiac MI
About The Position
The Lab Quality Engineer is a recognized technical contributor and resource in Engine Dyno Testing, responsible for addressing broad and complex problems. The role provides guidance on instrumentation, equipment, software, laboratory operations, and quality processes to ensure compliant testing. It validates measurement instrumentation, diagnostics, calibrations, test procedures, and collected data. The position collaborates with teams to solve problems, improve first-time quality (FTQ), and develop tools and processes that increase efficiency. It also leads quality innovation activities, completes quality-system work, trains team members, maintains project Standard Work documents, reviews data and performs statistical analysis, and tracks department, project, and Business Plan Deployment tasks. The role manages laboratory and operations quality reports, including monthly status reporting, and performs data acquisition and database management using PC software while maintaining records of status and changes. Specific training requirements are maintained in employee training documents held by the supervisor.
Requirements
- Bachelor's degree; an engineering degree is preferred, though other fields of study combined with appropriate experience may be considered.
- Red X, OPEX, and DFSS certifications.
- Working knowledge of automotive vehicle systems.
- Knowledge and application of statistical methods for data analysis.
- Working knowledge of lean engineering and quality systems.
- Strong critical-thinking skills.
- Interpersonal skills to work effectively with others, including global teams.
- Strong oral and written communication skills to interface effectively with GPG leadership.
Nice To Haves
- Three or more years of experience in analytics, data engineering, database development, or predictive modeling.
- Experience with Immuta, Atlan, automotive or operational settings, DFSS, and relevant certifications.
- Experience with platforms such as Tableau, Snowflake, Microsoft Fabric, AWS, Google Cloud, Collibra, and Salesforce.
- Experience collecting, integrating, cleaning, reconciling, and validating data.
- Experience building, troubleshooting, and optimizing production Databricks pipelines and analytical workloads using advanced SQL, Python/PySpark, Delta Lake, and large datasets.
- Experience applying testing and version control to maintain reliable code.
- Expertise in predictive analytics, 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.
- Practical data governance and stewardship experience involving quality, ownership, metadata, lineage, and controlled access.
- Ability to partner across engineering, operations, quality, and IT and translate needs into measurable analytical outcomes.
- Experience troubleshooting system and data issues and building or supporting applications, APIs, workflow tools, and integrations for operational users.
- Experience supporting documentation, data planning, migration, and architecture, and managing delivery in Jira Cloud.
Responsibilities
- Guide engineering teams on instrumentation, equipment, and software required for compliant testing.
- Guide and support laboratory operations and quality teams on processes and procedures for compliant testing.
- Validate compliance of measurement instrumentation, diagnostics, and calibrations.
- Validate test procedures and data collected for each required test or test sequence.
- Collaborate with teams to solve problems and improve FTQ.
- Collaborate with teams to develop tools and processes that improve efficiency.
- Lead innovation activities in the Quality Department.
- Complete quality-systems-related activities.
- Train team members on tools and processes.
- Maintain project Standard Work documents.
- Review data and perform statistical analysis.
- Maintain status of department, project, and Business Plan Deployment tasks.
- Maintain laboratory and operations quality reports and issue monthly status reports.
- Perform data acquisition and database management using PC software packages, and keep records of status and changes.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
