Engineering Data Analyst at XP POWER LIMITED

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Python, SQL, Power BI, Tableau, ETL Pipelines, PLM Systems, ERP Systems, Material Master Data Management, Supply Chain Analytics, Data Cleansing, BOM Analysis, Component Engineering, Azure Data Factory, Database Management, Project Management

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Company 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. Job Description Position Summary Acts as a subject-matter expert of engineering data (products, BOMs, materials, Documents, suppliers, etc.) – Own the end-to-end integrity of engineering data within our PLM/ERP systems; Bridge hardware engineering, procurement, quality, and IT by establishing frameworks for engineering data gathering, cleansing, and integrity assurance; Leverage data analytics to manage material and product 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. Qualifications BEng/BSc 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. Proficiency in MS Power BI, Power Query, DAX, Azure Data factory, etc. 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 analyze, model and interpret data, identify trends and patterns to develop insights from data. Knowledge of electronic components is desirable (ICs, actives, passives, electromechanical), including key parametrics and characteristics, commodity hierarchies and classifications, manufacturer/supplier market. Project management skills is desirable – able to lead cross-functional data initiatives from requirements gathering through implementation. Adaptive with strong initiatives, attention-to-detail with a passion for data accuracy, consistency and governance. Additional Information XP Power provides a safe and healthy working environment that is stimulating and collaborative, where employees are empowered to make a real difference. We place our people at the heart of everything we do. We understand that if we provide our people with the ultimate experience, they will provide the ultimate experience to our customers. Department: Component Engineering

Responsibilities

The Engineering Data Analyst will own the end-to-end integrity of engineering data within PLM/ERP systems and bridge cross-functional teams to establish data gathering and cleansing frameworks. They will leverage data analytics to manage product lifecycles, mitigate supply chain risks, and drive data-driven decision-making through automation and dashboard development.