NA Infield Quality Analysts

The Data-Driven Warranty Analysts Lead will be responsible for collecting, synthesizing, and analyzing data to identify trends, patterns, and emerging issues. This role involves developing comprehensive problem statements for issue resolution, supporting technical analysis, and contributing to improving the quality of customer vehicles. The ideal candidate will demonstrate great analytics and responsiveness and will be adept at supporting cross-functional teams in making data-driven decisions.

Key Responsibilities:

• Collect and synthesize data on complex problems into meaningful information, which is crucial for identifying trends, patterns, and emerging issues from customer feedback and operational data to develop comprehensive problem statements for issue resolution.
• Analyze over the air vehicle data (Aptiv/ADA/Databricks) to support technical analysis and solutions.
• Support reviews with top problematic component suppliers and their associated Engineering, Quality teams, and Sub-System Technical Manager to aid in data analysis for all Design Quality related GIMs.
• Contribute to improving the quality level of customer vehicles to meet ambitious quality objectives.
• Demonstrate great analytics and responsiveness to meet quality requirements.
• Support the cross-functional organization in making decisions on customer facing issues based on data.
• Support the creation of field solutions based on data analysis on all major quality issues (Top Warranty, Recalls, Rapid Service Updates, Customer Service Notifications).

Basic Qualifications:

• Bachelor’s degree in Engineering or related field that indicates a strong foundation in technical knowledge and problem-solving skills
• Minimum of 5 years of related experience
• Previous experience working in Engineering, Quality, and/or Manufacturing
• Experience with data analytics
• Strong communication skills, both written and verbal from Executive meetings to all levels
• Self-motivated and directed
• Ability to thrive in a high intensity environment while working on multiple projects
• High proficiency in verbal and written English

Preferred Qualifications:

• Advanced Degree
• Reactive Green Belt or Black Belt certification
• Knowledge of Stellantis systems: Quantic, QFS, JDP, CNs, GIMS, Palantir, etc