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Stellantis
Global Field Quality Performance Analyst
Career Insights for Data Analytics Manager
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What they do
A Data Analytics Manager leads and develops a team of data analysts. They select, configure and implement analytic solutions; create strategies for effective data analysis and reporting; and build systems to transform raw data into actionable business insights.
$123,531 / year median in Michigan
+20% projected growth
Job Description
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Search Results Global Field Quality Performance Analyst Job ID:
2019824Career Area:
Quality Position Type:
Salaried Location:
Headquarters & Technology Center - Auburn Hills 48326 ,US Date Posted:
July 10, 2026Brand:
FCA Group Apply Refer A Friend Share this job Share on Facebook Share on Twitter Share on Linkedin Share by Mail https://recruiting.adp.com/srccar/public/RTI.home?r=5001210965306&c=2183219&d=ExternalCareerSite&rb=SYMPHONYTALENT
You are being redirected Once you are on the page, please click the refer button Job Overview Qualifications Benefits Job Overview 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.