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Quality Control Tower Pre-Analyst

Job in Turin, Piedmont, Italy
Listing for: Stellantis
Full Time position
Listed on 2026-06-08
Job specializations:
  • Engineering
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 50000 - 70000 EUR Yearly EUR 50000.00 70000.00 YEAR
Job Description & How to Apply Below
Mission

His/her overall goal is to reduce the number of defects on our cars in the field.
His/her main role is to perform pre-analysis of issues in the field: characterization & handover.

Scope of Responsibility

Detecting issues in the field
Raising alerts in case of crisis situations (or recurrence or potential media impact)
Assigning the issue to the appropriate owner (supplier, plant, engineering, aftersales) with the right level of priority; or, if the issue is already known, updating the relevant database

All available sources of issue detection should be leveraged (e.g., warranty claims, internal incident reports, connected vehicle data, etc.).
Use of AI and big data analytics tools to perform the activities.
Main Responsibilities

Detecting issues in the field (safety, breakdowns or incidents)
Raising alerts in case of potential crisis situations (or recurrence or potential media impact)
Performing pre-analysis of incoming issues: assigning them to the appropriate owner (supplier, plant, engineering, aftersales) with the right level of priority; or, if the issue is already known, updating the relevant database

All activities are carried out in accordance with existing standards and are tracked through internal IT systems (Palantir/Foundry, GIM/Altis/PLM).
Use of AI and big data analytics tools for early detection.
Requirements

Degree in Engineering
Proven experience in the automotive industry
Solid understanding of both hardware and software systems
Fluent in English
Familiar with Data Lakes and AI logic
Understanding of connected vehicles and OTA data
Agile, proactive, and analytical problem solver
Strong interest in working within a global and multicultural environment

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
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