Warranty Analyst Engineer - Field Quality

Stellantis; Auburn Hills (MI); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

Company Vehicle Lease Program

Family Building Benefit

Volunteer hours

Retirement savings plans

Job summary

Stellantis is seeking a Warranty Analyst Engineer - Field Quality in Auburn Hills, MI to identify data-driven trends in warranty claims across Infotainment, Body Electronics, and ADAS systems. You will analyze data, drive corrective actions, and collaborate with Engineering, Quality, Service, and Finance to reduce warranty costs and improve reliability.

Responsibilities include using Palantir and warranty platforms, performing root cause analysis, and leveraging ML/AI for data mining and

Qualifications

• Bachelor’s degree in Data science, Statistics, Engineering, Computer Science, or a related quantitative technical field
• 1+ year of experience in automotive engineering, data analysis, business intelligence, or data science
• Programming skills in Python or R
• Proficiency with BI tools (Tableau, Power BI, QlikSense) to create insightful reports and dashboards
• Familiarity with warranty management systems (e.g., Global Warranty Management) and enterprise data environments (e.g., data lakes, cloud platforms like AWS, Azure, or GCP)
• Solid understanding of statistical methodologies for time-to-failure analysis (e.g., Weibull), forecasting, and hypothesis testing
• Knowledge of quality improvement methodologies (e.g., Six Sigma, FMEA)
• Prior experience working directly with automotive dealer management systems (DMS) data

Responsibilities

• Identify, analyze, and monitor warranty trends using Palantir and dealer warranty platforms
• Categorize claims to pinpoint customer concerns and link to failure modes
• Track effectiveness of corrective actions through to closure
• Leverage ML/AI to enhance data mining, validation, and root cause analysis
• Collaborate with Quality, Engineering, Manufacturing, and Service teams to drive improvements
• Prepare handover documents detailing customer insights for cross-functional teams
• Guide issue owners in root cause analysis and corrective actions
• Report on warranty-related quality issues and progress during reviews

Skills

Python

R

Tableau

Power BI

QlikSense

Weibull analysis

Statistics

Data visualization

DMS data handling

Machine learning basics

Education

Bachelor's degree in Data science or related field

Tools

Palantir

Global Warranty Management

AWS

Azure

GCP

Job description

Warranty Analyst Engineer - Field Quality

#2020894

Job Description

The Warranty Analyst Engineer plays a vital role in identifying data-driven trends in warranty claims, with a specific focus on commodities within the Infotainment, Body Electronics, and ADAS electrical systems. This position is responsible for analyzing warranty data, identifying recurring issues, and translating findings into actionable insights for cross-functional teams, including Engineering, Quality, Service, and Finance. The goal is to enhance product reliability and reduce overall warranty costs.

Success in this role requires a proactive and analytical mindset to address quality concerns, drive continuous improvement, and ensure timely and effective resolution of warranty related issues. The Warranty Analyst Engineer will collaborate closely with Engineering and Supplier Quality teams to validate issues, recommend corrective actions, and monitor the implementation and effectiveness of solutions.

Key Responsibilities:

• Proficient in utilizing Palantir, Stellantis issue tracking systems, and dealer warranty platforms to identify, analyze, and monitor warranty trends.
• Analyze and categorize incoming warranty claims to pinpoint specific customer concerns, link them to common failure modes, and identify potential root cause areas.
• Track and evaluate the effectiveness of corrective actions through to issue closure, ensuring resolution quality and sustainability.
• Skilled in leveraging advanced technologies, including Machine Learning and AI, to enhance data mining, claims validation, and root cause analysis efforts.

Reporting & Cross-Functional Collaboration:

• Collaborate cross-functionally with Quality, Engineering, Manufacturing, and Service teams to translate data-driven insights into actionable product or process improvements.
• Compile and summarize customer concern insights into clear handover documents, enabling cross-functional teams to lead issue resolution efforts.
• Support and guide issue owners in conducting root cause analysis and defining effective corrective actions.
• Monitor the implementation and effectiveness of corrective actions through to issue closure.
• Deliver regular updates on warranty-related quality issues, GIM (Global Issue Management) progress, and resolution status during quality reviews and leadership meetings.

Process & System Improvement:

• Foster a lessons-learned culture by systematically capturing and applying insights across vehicle programs, ensuring proactive knowledge sharing across the Stellantis vehicle portfolio to mitigate repeat issues in future models.
• Uphold compliance in data practices by ensuring all data collection, handling, and reporting activities align with corporate policies, legal regulations, and industry standards.

Location(s)

1000 Chrysler Drive, Auburn Hills , Michigan 48326 , United States

Requirements

Basic Qualifications:

• Bachelor’s degree in Data science, Statistics, Engineering, Computer Science, or a related quantitative technical field
• 1+ year of experience in automotive engineering, data analysis, business intelligence, or data science

Preferred Qualifications:

• Programming skills in a statistical or data science language, such as Python or R
• Proficiency with Business Intelligence and data visualization tools (e.g., Tableau, Power BI, QlikSense) to create insightful reports and dashboards
• Familiarity with warranty management systems (e.g., Global Warranty Management) and enterprise data environments (e.g., data lakes, cloud platforms like AWS, Azure, or GCP)
• Solid understanding of statistical methodologies for time-to-failure analysis (e.g., Weibull), forecasting, and hypothesis testing
• Knowledge of quality improvement methodologies (e.g., Six Sigma, FMEA)
• Prior experience working directly with automotive dealer management systems (DMS) data

Employment Type

Full-time

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

Additional Job Posting Information

Our Benefits - Designed with You in Mind

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We help you plan for the future with:

• An employer match on contributions to your 401k, Roth, and Catch-Up plans

Income Protection & Insurance Options

Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.

Company Vehicle Lease Program

Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career - you’re joining a company that supports you, inside and outside of work.