Data Analyst, AI Factory Operations

Nvidia • Santa Clara, CA

35d

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we focus on advancing what's possible in parallel and visual computing. Join our Business Operations team as a Data Analyst in AI Factory Operations. You will have a meaningful role in transforming how we deploy and manage our powerful AI technologies. This outstanding opportunity allows you to apply your data analysis skills alongside operational knowledge to increase efficiency and visibility across our AI initiatives in Santa Clara, CA.

Requirements

• Bachelor's degree or equivalent experience.
• 5+ years of experience overall, with at least 4 years in data reporting, process mapping, supply chain, logistics, or related program management.
• Verified background in building dashboards and analytics through SFDC, Wrike, Power BI, or related tools.
• Strong understanding of information systems integration, reporting methodologies, and data visualization guidelines.
• Excellent analytical, problem-solving, and communication skills for cross-functional collaboration.
• Demonstrated ability to detail and refine processes, manage reporting tasks, and synthesize insights for executive audiences.

Responsibilities

• Own and complete the building and development of reporting solutions across SFDC, Wrike, Power BI, and related platforms based on field and management needs.
• Lead needs assessments and requirements analyses to identify efficient tools and processes for business reporting.
• Build, analyze, and present data-driven insights and forecasts, offering actionable recommendations to collaborators.
• Develop and maintain NVIS dashboards that deliver clarity and performance visibility across key operational metrics.
• Collaborate with cross-functional teams-engineering, operations, planning, OEM partners, and logistics-to document and optimize lifecycle processes.
• Serve as the primary contact for Data Analytics process blocking issues for lifecycle accountability, ensuring efficient and transparent issue resolution.
• Monitor operational performance, document workflows, and drive continuous improvement initiatives across data and logistics functions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees