Field Quality & Warranty Analytics Lead

Stellantis; Auburn Hills (MI); Sur place; USD 120 000 - 160 000; Plein temps

Résumé du poste

Stellantis Auburn Hills is seeking a Data-Driven Warranty Analysts Lead to collect, synthesize, and analyze data identifying trends, patterns, and issues affecting vehicle quality. The role supports technical analysis and cross-functional decision making to improve customer vehicle quality and reliability.

The ideal candidate will have strong analytics, effective communication, and the ability to drive data-driven decisions in a high-intensity environment across Engineering, Quality, and

Qualifications

• Bachelor's degree in Engineering or related field.
• Minimum of 5 years of related experience.
• Experience in Engineering, Quality, and/or Manufacturing.
• Experience with data analytics.
• Strong written and verbal English communication.

Responsabilités

• Collect and synthesize data to identify trends and issues from customer feedback and operations.
• Analyze over the air vehicle data to support technical analysis and solutions.
• Support reviews with component suppliers and Engineering/Quality teams for data analysis.
• Contribute to improving the quality of customer vehicles to meet quality objectives.
• Demonstrate analytics and responsiveness to quality requirements.
• Support cross-functional decisions on customer-facing issues based on data.
• Assist in creating field solutions based on data analysis for major quality issues.

Connaissances

Data analytics

Communication

Problem solving

Self-motivated

English language

Formation

Bachelor's degree in Engineering or related field

Outils

Quantic

QFS

JDP

CNs

GIMS

Palantir

Description du poste

Stellantis Auburn Hills is seeking a Data-Driven Warranty Analysts Lead to collect, synthesize, and analyze data identifying trends, patterns, and issues affecting vehicle quality. The role supports technical analysis and cross-functional decision making to improve customer vehicle quality and reliability.

The ideal candidate will have strong analytics, effective communication, and the ability to drive data-driven decisions in a high-intensity environment across Engineering, Quality, and