Field Monitoring & Early Warning Analyst

The Global Stellantis Quality organization is seeking a highly analytical and proactive Field Quality Monitoring & Early Warning Analyst to join the Global Field Quality Monitoring & Early Warning team. The overall objective is to support the detection, assessment, and escalation of emerging field quality risks through the application of early‑monitoring KPIs, triggers, and analytical tools, enabling the organization to identify potential quality issues before they result in significant customer impact and warranty cost. Key Responsibilities Monitor early field quality indicators and KPIs to identify emerging quality, warranty, durability, and customer‑impact risks across multiple models and systems Assess and validate potential risks by applying defined monitoring criteria, severity thresholds, and analytical methods to distinguish meaningful signals from normal variation Prioritize and manage the early‑warning pipeline, maintaining dashboards and risk summaries while determining which issues require continued monitoring, technical investigation, or escalation Support early‑warning governance and technical review forums by preparing analyses, facilitating issue reviews, tracking actions, and ensuring timely follow‑up on identified risks Support continuous improvement of monitoring tools, KPIs, triggers, and processes to improve detection effectiveness, reporting quality, and early intervention capability Basic Qualifications Bachelor’s degree in Engineering, Data Analytics or a related technical discipline Minimum of 7+ years of experience in quality, engineering, manufacturing or analytics Experience in automotive field quality, warranty analysis, reliability engineering, or related technical disciplines Strong analytical skills with the ability to identify trends, anomalies, and emerging risks within large and complex datasets Experience translating data into clear conclusions and actionable recommendations Strong communication skills with the ability to present fact‑based analyses to technical and business stakeholders Preferred Qualifications Experience with warranty, reliability, durability, or field quality monitoring systems Hands‑on experience with Palantir Foundry Knowledge of statistical analysis, trend analysis, and anomaly detection techniques Advanced degree in Business, Engineering, Data Science or related field #J-18808-Ljbffr Stellantisfinancialservices