XP Power
Tech / AI / Software
ComponentEngineer–DataAnalytics
Neural analysis suggests this role is
optimal for mid candidates.
“Component Engineer – Data Analytics at XP Power. Skills: Data Analytics, Component Engineering, Material Data Management, PLM/ERP systems, ETL, Python, SQL, Power BI. Act as a subject-matter expert of material data. Transforming component intelligence into strategic insights”
What You'll Achieve.
Transforming component intelligence into strategic insights; Own the end-to-end integrity of component data; Mitigate supply chain risks; Enable data-driven decision-making; Enable automation; Reduce cycle times; Ensure supply chain resilience through trusted master data; Drive cost reduction; Lead-time mitigation; Supplier quality improvements
Industry & Context.
Mathematical, statistical, and analytical skills – able to analyse, model and interpret data, identify trends and patterns to develop insights from data
What They're Looking For.
Must Have
BEngSc in Electrical/Electronic Engineering, Materials, or related, 3+ years of experience in Component Engineering, Material Master Data Management, Supply Chain Analytics, or Data Analytics for hardware, Knowledge of electronic components (ICs, actives, passives, electromechanical), including key parametrics and characteristics, commodity hierarchies and classifications, manufacturer/supplier market, Proficiency in SQL language, database development & management, ecosystems, Experience with product BOM, engineering documentation, and change control, Experience with PLM/ERP systems (SAP, Oracle), including data structure, storage and configuration, Mathematical, statistical, and analytical skills – able to analyse, model and interpret data, identify trends and patterns to develop insights from data, Project management skills – able to lead cross-functional data initiatives from requirements gathering through implementation, Adaptive with initiatives, attention-to-detail with a passion for data accuracy, consistency and governance
Nice to Have
Proficiency in MS Power BI, Power Query, DAX, Azure Data factory, etc.
What You'll Do.
Act as a subject-matter expert of material data
Transforming component intelligence into strategic insights
Own the end-to-end integrity of component data within PLM/ERP
Establish frameworks for material data gathering
Leverage data analytics to manage component lifecycles
Mitigate supply chain risks
Enable data-driven decision-making
Ensure supply chain resilience through trusted master data
Develop ETL pipelines
scripts (Python/SQL) and APIs
Integrate PLM/ERP systems
market intelligence tools and parametric databases
Analyse material characteristics and parametrics
quality and compliance data
Identify potential data integrity issues
Lead data cleansing initiatives
Implement validation rules
Automate data quality checks
Utilize material demand and supply data to predict production risk
Build self-service dashboards for lifecycle/shortage risk
and Manufacturing to drive cost reduction
and supplier quality improvements
Partner with IT and engineering teams to optimize system configurations
and data integration points
Ensure material data flows from component engineering to design to manufacturing
Maintain documentation
and training for component data and best analytics practices
How You'll Work.
Team & Collaboration
Collaborate with Design, Procurement, Quality, and Manufacturing; Partner with IT and engineering teams
Process & Methodology
Able to lead cross-functional data initiatives from requirements gathering through implementation
Full Job Description
We are committed to our culture that values Customer Focus, Flexibility, Knowledge, Speed and Integrity. Joining our team means you will work in a high performing global company where employees collaborate and strive for excellence. 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
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