Senior Data Analyst

Company Overview

A prominent global entity specializing in precision power conversion, measurement, and control solutions tailored for mission-critical applications. Our services cater to various sectors, including semiconductor equipment, data center computing, industrial, medical, and telecommunications markets across the globe.

Key Responsibilities

• Evaluate customer feedback, RMAs, failure analysis documentation, and field reliability statistics to uncover trends, recurring challenges, and potential risks.
• Track and present essential quality and reliability metrics (PPM, DTF, warranty outcomes, field returns, failure modes) while assisting in root cause analysis with data-driven insights.
• Aggregate and assess data from quality systems, manufacturing databases, corrective-action platforms, and enterprise tools; create automated dashboards, scorecards, and KPI reports for leadership review.
• Compile monthly and quarterly business assessments that encompass customer, product, supplier, and reliability performance.
• Examine quality performance metrics by customer, product family, supplier, site, and business unit; assess financial repercussions (warranty, replacement costs, scrap, COPQ) and aid in customer-facing quality evaluations.
• Facilitate 8D, CAR, CAPA, and RCCA initiatives through data-supported analysis, monitor the effectiveness of corrective actions, and pinpoint systemic improvement opportunities.
• Promote the standardization of quality metrics, reporting techniques, and data governance across all business divisions.
• Collaborate with cross-functional teams including Customer Quality, Supplier Quality, Manufacturing, Engineering, Reliability, and Operations; deliver findings and recommendations to management and executive levels.

Qualifications

• At least 5 years of experience in data analytics, business intelligence, customer quality, product quality, reliability engineering, or manufacturing analytics.
• Proficient in employing statistical techniques to detect trends, risks, and underlying causes.
• Proven experience in analyzing extensive datasets across various enterprise systems and supporting executive-level reporting and business reviews.
• Solid understanding of manufacturing, product quality, and reliability environments.
• Advanced skills in SQL and Microsoft Excel for data extraction, analysis, and reporting purposes.
• Extensive experience in creating dashboards and executive presentations utilizing Excel, Power BI, Tableau, or similar applications.
• Familiarity with quality methodologies (8D, RCA, CAR, CAPA, Failure Analysis) and quality/reliability metrics (PPM/DPPM, DTF, Yield, Warranty Performance, COPQ).

If you are interested in this opportunity, please click the 'apply' button now! Alternatively, you may reach out to Mon Fei at [HIDDEN TEXT] for a confidential discussion. Only candidates selected for further consideration will be contacted.

Morgan McKinley Pte Ltd

Chow Mon Fei

EA Licence No: 11C5502

EA Registration No. R1877534