Senior Data Analyst

Morgan Mckinley Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Morgan Mckinley Pte Ltd in Singapore is seeking an experienced data analytics professional to drive quality, reliability, and business insight initiatives. You will analyze complaints, RMAs, and field data to identify trends, quantify impact, and support leadership decisions.

The role emphasizes advanced SQL, Excel, and BI tools to build dashboards, KPI reports, and executive-ready presentations for cross-functional leadership across manufacturing and operations.

Qualifications

• 5+ years of experience in data analytics, business intelligence, quality, or manufacturing analytics.
• Experience applying statistical methods to identify trends and root causes.
• Experience analyzing large datasets across enterprise systems and executive reporting.
• Strong understanding of manufacturing quality and reliability environments.
• Advanced SQL and Excel proficiency for data extraction and reporting.
• Experience building dashboards and executive presentations using BI tools.

Responsibilities

• Analyze customer complaints, RMAs, failure reports, and field reliability data to identify trends.
• Monitor quality metrics and support root cause investigations with data insights.
• Create dashboards, scorecards, and KPI reports for leadership.
• Prepare quarterly business reviews covering performance across customers, products, and suppliers.
• Support 8D, CAPA, and RCCA activities with fact-based analysis.
• Partner with cross-functional teams to present findings to management.

Skills

SQL

Microsoft Excel

Dashboards

Data analysis

Tools

Power BI

Tableau

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).