Component Engineer – Data Analytics (Based in Singapore)

Position Summary

Acts as a subject-matter expert of material data while transforming component intelligence into strategic insights – Own the end-to-end integrity of component data within our PLM/ERP systems;  Bridge hardware engineering, procurement, quality, and IT by establishing frameworks for material data gathering, cleansing, and integrity assurance;  Leverage data analytics to manage component lifecycles, mitigate supply chain risks, and enable data-driven decision-making; Enable automation, reduce cycle times, and ensure supply chain resilience through trusted master data.

Duties & Responsibilities

• Develop ETL pipelines, scripts (Python/SQL) and APIs to integrate PLM/ERP systems, supplier portals, market intelligence tools and parametric databases.
• Analyse material characteristics and parametrics (electrical, mechanical, thermal), supplier details, lifecycle status, cost, lead‑time, quality and compliance data to identify potential data integrity issues.
• Lead data cleansing initiatives, implement validation rules, and automate data quality checks to ensure material data quality.
• Analyse product BOMs, utilize material demand and supply data to predict production risk due to material obsolescence and market shortage.
• Build self‑service dashboards (Power BI/Tableau) for lifecycle/shortage risk, cost variance, supplier performance, and component health.
• Partner with Design, Procurement, Quality, and Manufacturing to drive cost reduction, lead‑time mitigation, and supplier quality improvements.
• Partner with IT and engineering teams to optimize system configurations, workflows, and data integration points to ensure material data flows from component engineering to design to manufacturing
• Maintain documentation, standards, and training for component data and best analytics practices.