Data Systems Analyst

NVIDIA is hiring a Data Systems Analyst. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
The posting mentions SQL, MES and Plm among its tools and skills.
Level classes it as a mid-level role.
NVIDIA has 2,600+ other open roles on Level.

AI in this role

Data Systems Analyst managing manufacturing data quality and leveraging AI-assisted tools to improve supply chain operational efficiency.

sqlmesplm

data-analysissupply-chain-managementmanufacturing-operationsdata-governance

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!

What you'll be doing:

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 most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Hybrid

How we rate this

Data Systems Analyst at NVIDIA rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Systems Analyst is an open job at NVIDIA.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Taiwan, Hsinchu.
The job was posted on August 10, 2026.
Seniority: mid.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisSupply Chain ManagementManufacturing OperationsData GovernanceSQLMESPlm

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where supply chain management was part of your work. What did you do?
Tell me about a project where manufacturing operations was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Analysis, Supply Chain Management, Manufacturing Operations, Data Governance, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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