Data Systems Analyst

Are you passionate about bridging the gap between manufacturing operations and data analytics? At NVIDIA, we’re on the lookout for an ambitious and dedicated 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. This is your chance to create a significant impact on our supply chain performance and contribute to NVIDIA’s groundbreaking innovations!

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. What we need to see: 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), 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. Ways to stand out from the crowd: Experience with manufacturing operations and supply chain management. Knowledge of manufacturing operational processes covering components, boards, systems, and server products. Proficiency in writing and optimizing complex SQL queries for manufacturing analytics and operational reporting. Experience with scripting or programming languages such as Python or Java for automation and data processing, crafting dashboards and reports using Tableau, Power BI, or similar visualization platforms. Familiarity with systems administration, virtual machines, cloud platforms (AWS, Azure), and data pipeline concepts. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the