Senior Data Analyst

Company Summary

A global leader in highly engineered precision power conversion, measurement, and control solutions for mission-critical applications, serving the semiconductor equipment, data center computing, industrial, medical, and telecommunications markets worldwide.

Roles & Responsibilities

• Analyze customer complaints, RMAs, failure analysis reports, and field reliability data to identify trends, recurring issues, and emerging risks.
• Monitor and report key quality/reliability metrics (PPM, DTF, warranty performance, field returns, failure modes) and support root cause investigations with analytical insight.
• Consolidate and analyze data across quality systems, manufacturing databases, corrective-action systems, and enterprise tools build automated dashboards, scorecards, and KPI reports for leadership.
• Prepare monthly/quarterly business reviews covering customer, product, supplier, and reliability performance.
• Analyze quality performance by customer, product family, supplier, site, and business unit quantify financial impact (warranty, replacement, scrap, COPQ) and support customer-facing quality reviews.
• Support 8D, CAR, CAPA, and RCCA activities through fact-based analysis, track corrective-action effectiveness, and identify systemic improvement opportunities.
• Drive standardization of quality metrics, reporting methodologies, and data governance across business units.
• Partner cross-functionally with Customer Quality, Supplier Quality, Manufacturing, Engineering, Reliability, and Operations present findings and recommendations to management and executive leadership.

Requirements

• Minimum 5 years of experience in data analytics, business intelligence, customer quality, product quality, reliability engineering, or manufacturing analytics.
• Experience applying statistical methods to identify trends, risks, and root causes.
• Demonstrated experience analyzing large datasets across multiple enterprise systems, and supporting executive-level reporting and business reviews.
• Strong understanding of manufacturing, product quality, and reliability environments.
• Advanced proficiency in SQL and Microsoft Excel for data extraction, analysis, and reporting.
• Strong experience building dashboards and executive presentations using Excel, Power BI, Tableau, or similar tools.
• Working knowledge of quality methodologies (8D, RCA, CAR, CAPA, Failure Analysis) and quality/reliability metrics (PPM/DPPM, DTF, Yield, Warranty Performance, COPQ).

If you're interested in the above role, click on the apply function now! Alternatively, you can contact Mon Fei at [Confidential Information] for a confidential discussion. Only shortlisted candidates will be notified.

Morgan McKinley Pte Ltd

Chow Mon Fei

EA Licence No: 11C5502

EA Registration No. R1877534