SalaryPeak

Component Engineer (Data & Analytics)

SEARCH STAFFING SERVICES PTE. LTD.
Singapore 3+ years Posted Apr 12, 2026

Salary Range

SGD 54,000 - SGD 72,000 /year

SGD 4,500 - SGD 6,000/month

Skills Required

Master DataMaterialsPipelinesHadoopSupplier DevelopmentData GovernanceSQLProject ManagementElectronic and Electrical EngineeringData ScienceEngineering Management of ChangePower BI

Job Description

We are representing our client who is a leading provider of power system solutions to customers from various industries not limited to industrial, medical, information technology etc in search of

Component Engineer (Data & Analytics)

Overview

Be thego-to expert for component and material data, turning complex datasets into actionable insights. This role ensures high-quality master data across systems while supporting engineering, supply chain, and manufacturing decisions through analytics and automation.

KeyResponsibilities

  • Build and maintain data pipelines (SQL/Python/APIs) connecting PLM, ERP, supplier platforms, and external databases
  • Analyse component attributes (electrical, mechanical, lifecycle, cost, lead time, supplier performance) to detect risks and inconsistencies
  • Drive data quality initiatives including cleansing, validation rules, and automated checks
  • Assess BOMs and material trends to identify obsolescence and supply risks
  • Develop dashboards (e.g. Power BI/Tableau) for cost, lifecycle, and supplier insights
  • Collaborate cross-functionally to improve cost, lead time, and supplier performance
  • Work with IT to streamline data flow, system setup, and integration
  • Maintain data standards, documentation, and best practices

Requirements

  • Degree in Electrical/Electronic Engineering, Materials, or related field
  • Minimum 3 years’ experience in component engineering, master data, or analytics within a hardware environment
  • Solid understanding of electronic components and supplier landscape
  • Hands-on experience with BI tools (Power BI/Tableau) and data tools (SQL; Python preferred)
  • Familiar with BOM structures, engineering change processes, and PLM/ERP systems (e.g. SAP/Oracle)
  • Strong analytical mindset with attention to detail and data governance focus
  • Able to manage projects and work across multiple teams

Interested applicants, kindly forward acopy of your updated resume in WORD document to [email protected]stating your current and expected remuneration together with notice periodrequired by current employer.