Senior Data Analyst

MORGAN MCKINLEY PTE. LTD.; Singapore; On-site; SGD 110,000 - 180,000; Full time

Job summary

Morgan McKinley Pte Ltd is seeking a data analytics and quality/reliability analytics expert to analyze complaints, RMAs, and field data. You will build dashboards, report KPIs, and support executive reviews across customer, product, and supplier performance.

The role requires 5+ years in data analytics or quality/reliability fields, with strong SQL/Excel and BI tool skills, and experience in 8D, CAPA, and related methodologies.

Qualifications

• 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.
• Experience analyzing large datasets across multiple enterprise systems and supporting executive reporting.
• Strong understanding of manufacturing, product quality, and reliability environments.
• Advanced proficiency in SQL and Excel for data extraction, analysis and reporting.
• 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 related metrics (PPM/DPPM, DTF, Yield, COPQ).

Responsibilities

• Analyze customer complaints, RMAs, failure analysis reports, and field reliability data to identify trends, recurring issues, and risks.
• Monitor and report quality/reliability metrics and support root cause investigations with analytical insight.
• Consolidate data across quality systems and enterprise tools; build 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 and support reviews.
• Support 8D, CAR, CAPA, and RCCA activities through fact-based analysis and track corrective-action effectiveness.
• Drive standardization of quality metrics, reporting methodologies, and data governance across units.
• Partner across functions and present findings to management and executive leadership.

Skills

Data analytics

Business intelligence

Quality engineering

Reliability engineering

Manufacturing analytics

Statistical methods

SQL

Excel

Power BI

Tableau

Dashboarding

Executive reporting

Tools

Power BI

Tableau

Excel

SQL

Job description

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).

Morgan McKinley Pte Ltd

Chow Mon Fei

EA Licence No: 11C5502

EA Registration No. R1877534