The Global Stellantis Quality organization is seeking a highly analytical and results-oriented Field Quality Performance Analyst to join the Global Field Quality Performance & Intelligence team. The overall objective is to support the delivery of clear, accurate, and actionable field quality performance insights, enabling the organization to understand trends, identify key drivers, and drive improvement in quality performance, warranty cost, and customer satisfaction.
Key Responsibilities:Deliverables of the function include on-time and effective delivery of:
• Field quality performance data and reporting, including Months-in-Service (MIS) indicators, warranty spend, inflow/outflow, and issue tracking data
• Standardized analytics and reports to support consistent visibility of performance across regions, plants, and products
• Actionable insight explaining performance evolution, including what changed, why performance is improving or deteriorating, and expected impact
• Clear identification of performance drivers, isolating key contributors by region, plant, product and subsystem
• Preparation of reporting materials and data inputs for governance forums (weekly KPI reviews, SLT, BoD, etc...)
Support continuous improvement of reporting tools, data flows, and analytics processes, helping increase efficiency and data reliability.
Basic Qualifications: - Bachelor's degree in Engineering, Data Analytics or a related technical or quantitative discipline
- Minimum of 7+ years of experience in data analytics and intelligence within quality or similar operational environment
- Strong experience in automotive field quality, warranty, or performance analytics
- Proven ability to analyze complex data and identify trends, gaps and key performance drivers, translating data into actionable insights
- Strong communication, able to present clear, fact-based performance narratives and drive discussions across multiple levels in the organization
Preferred Qualifications:- Experience with business intelligence and data visualization tools (e.g., Power BI)
- Hands on experience with Palantir Foundry
- Advanced degree in Business, Engineering, Data Science or related field
