Responsible for designing, developing, and maintaining business intelligence and analytics applications that embed product quality intelligence into key lifecycle quality decisions. Planned, organized, and coordinated data and reporting activities to transform manufacturing, test, and field information into actionable insights. Collaborates with product quality, engineering, reliability, test, supply chain, and field quality teams to monitor performance, detect early risk indicators, and support root cause analysis (RCA). Responsible for operationalizing quality KPIs (yield, defect rates, fallout, escapes, reliability indicators, and customer-reported failure trends) through standardized datasets, dashboards, and analytics-ready models. Additionally, proposes and contributes to advanced analytics and machine learning opportunities to improve quality prediction, classification, and anomaly detection.

• Design and delive r BI and analytics solutio...