NA Infield Quality Analysts

Stellantis • Auburn Hills, MI

8h

About The Position

The Data-Driven Warranty Analysts Lead collects, synthesizes, and analyzes data to identify trends, patterns, and emerging issues. The role develops comprehensive problem statements for issue resolution, supports technical analysis, and contributes to improving the quality of customer vehicles. The successful candidate demonstrates strong analytics and responsiveness and supports cross-functional teams in making data-driven decisions.

The role analyzes over-the-air vehicle data and supports reviews of problematic components with suppliers, Engineering and Quality teams, and Sub-System Technical Managers. It also supports data-informed decisions about customer-facing issues and the creation of field solutions for major quality issues, including Top Warranty, Recalls, Rapid Service Updates, and Customer Service Notifications.

Requirements

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

Nice To Haves

• Advanced degree.
• Reactive Green Belt or Black Belt certification.
• Knowledge of Stellantis systems, such as Quantic, QFS, JDP, CNs, GIMS, and Palantir.

Responsibilities

• Collect and synthesize data on complex problems to identify trends, patterns, and emerging issues in customer feedback and operational data, and develop problem statements for issue resolution.
• Analyze over-the-air vehicle data using Aptiv, ADA, and Databricks to support technical analysis and solutions.
• Support reviews with suppliers of problematic components, Engineering and Quality teams, and Sub-System Technical Managers to aid data analysis for Design Quality-related GIMs.
• Contribute to improving the quality of customer vehicles to meet quality objectives.
• Demonstrate analytics and responsiveness in meeting quality requirements.
• Support cross-functional decision-making on customer-facing issues using data.
• Support the creation of data-informed field solutions for major quality issues, including Top Warranty, Recalls, Rapid Service Updates, and Customer Service Notifications.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior