Quality Data Analyst – Electrical Hardware Engineering

·       Analyze global warranty claims, warranty spending, repair cost trends, and field quality performance for Electrical & Electronic Hardware systems.

·       Monitor warranty and quality KPIs such as warranty kPPM, warranty spending, incident rates, CPV, repeat failures, service campaign impact, and corrective action effectiveness.

·       Use warranty analytics platforms, Power BI reporting, Excel analytics, and data visualization to generate actionable insights for engineering and quality leadership.

·       Identify emerging warranty risks, systemic trends, high-cost issues, and recurring failure patterns to support timely decision-making.

·       Lead process automation for quality, warranty, and engineering KPI management using approved digital, analytics, and AI-enabled tools.

·       Design, develop, and maintain automated dashboards and periodic reports for warranty spending, incidents, kPPM, CPV, quality cost, issue management, design assessment status, lessons learned, and corrective action tracking.

·       Integrate data from warranty, issue management, engineering, quality, and SharePoint/Power BI-based sources to improve reporting efficiency, consistency, and data reliability.

·       Develop automated alerts, early-warning indicators, and KPI exception reporting for emerging warranty, design, and field quality risks.

·       Reduce manual reporting effort by standardizing data flows, automating repetitive KPI reports, and improving reporting cycle time.

·       Support and coordinate Design Assessment / Design Integrity evaluations for Electrical & Electronic Hardware systems.

·       Analyze design assessment outcomes to identify gaps in design robustness, target achievement, validation readiness, risk closure, and lessons learned implementation.

·       Develop dashboards and automated trackers for design assessment completion, robustness metrics, open issue status, target achievement status, technical risk indicators, and closure effectiveness.

·       Correlate development-phase design assessment findings with warranty issues, plant concerns, validation findings, and field quality performance.

·       Collaborate with hardware engineering teams to monitor closure of design gaps and support data-driven improvements to design assessment methodologies.

·       Actively learn, adopt, and apply Stellantis-approved AI, analytics, and automation solutions relevant to Quality Engineering.

·       Apply AI-assisted analytics for trend identification, anomaly detection, early-warning identification, warranty cost forecasting, read-across, and issue prioritization.

·       Support predictive quality analytics initiatives and contribute to scalable data-centric quality engineering practices.

·       Translate business and engineering problems into analytical use cases, dashboards, reports, and automation opportunities.

·       Support issue management activities including identification of critical warranty issues, investigation prioritization, corrective action tracking, and effectiveness monitoring.

·       Conduct statistical analysis and data mining to support root-cause analysis, problem solving, and corrective/preventive action validation.

·       Collaborate with engineering, manufacturing, supplier quality, service, and program teams to validate issue status and monitor quality risk reduction.

·       Apply Lean, Six Sigma, quality tools, and structured problem-solving methods to improve reporting efficiency, process maturity, and data quality.

·       Identify opportunities to reduce warranty cost through proactive quality actions, digitalization, and process simplification.

·       Standardize quality metrics, data definitions, and reporting methods across regions and functions wherever applicable.

·       Support continuous improvement initiatives that improve visibility, decision quality, and accountability in the EHE quality process.

·       Monitor warranty spending, warranty cost drivers, and other quality-related financial indicators linked to Electrical & Electronic Hardware systems.

·       Support forecasting and budget management activities related to warranty cost performance, quality cost reduction, and improvement initiatives.

·       Provide management visibility on financial impact, cost avoidance opportunities, and high-priority quality cost reduction actions.

·       Work cross-functionally with Electrical Hardware Engineering, Quality Engineering, Program Teams, Manufacturing Quality, Supplier Quality, Service/Warranty organizations, and regional stakeholders.

·       Prepare concise leadership-ready summaries, dashboards, and management reports that convert data into clear business and engineering decisions.

Communicate analytical findings, risks, recommendations, and action plans to technical and non-technical stakeholders

Education :

 Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline.

Experience:  5–10 years of professional experience; experience should not exceed 10 years.