Data Systems Analyst

We are looking for a Data Systems Analyst to join our SCBT Operations Data Platform DataOps organization in Hsinchu City, Taiwan. As part of a world-class team, you'll drive operational excellence and ensure detailed data integrity across our manufacturing processes.

Responsibilities:

• Drive business insights to enhance manufacturing efficiency, operational execution, and supply chain performance.
• Enable and monitor shop-floor data collection for new and existing contract manufacturers and suppliers.
• Identify gaps in operational processes and recommend improvements to ensure seamless manufacturing operations.
• Establish and maintain data quality attributes and metrics, ensuring data integrity across manufacturing operations.
• Audit manufacturing data quality, address anomalies, and implement validation processes for greater accuracy and visibility.
• Collaborate with external partners and internal engineering teams to resolve production data discrepancies and support product implementation requirements.
• Manage production configuration information, maintaining integrity of manufacturing attributes, component relationships, and product structures.
• Partner with IT, planning, and engineering teams to translate operational requirements into scalable solutions and support continuous improvement initiatives.

Requirements:

• Bachelor’s or Master’s degree in Industrial Engineering, Supply Chain Management, Information Systems, Computer Science, or equivalent practical experience.
• 5+ years of experience in electronics manufacturing operations, outsourced manufacturing, supply chain, or related fields.
• Strong knowledge of hardware manufacturing processes, product assembly flows, and outsourced manufacturing operations.
• Experience with Shop Floor Control Systems (SFCS), Manufacturing Execution Systems (MES), Engineering Change Order (ECO) processes, Product Lifecycle Management (PLM), product configuration management, and BOM structures.
• Basic to intermediate SQL skills for manufacturing data queries, validation, troubleshooting, and analysis.
• Ability to leverage AI-assisted tools and modern technologies to improve operational efficiency and support data-driven decisions.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
• Self-motivated and detail-oriented, with sound judgment and the ability to work independently in a fast-paced environment, to collaborate effectively with engineering teams, business collaborators, and external manufacturing partners.