Data Analyst, AI Factory Operations at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

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

Skills

Key technologies and capabilities for this role

SFDCWrikePower BIData AnalysisReportingDashboardsNVISSQLForecastingBusiness IntelligenceCross-functional CollaborationProcess Optimization

Questions & Answers

Common questions about this position

What is the location for this Data Analyst position?

The role is based in Santa Clara, CA.

What experience and skills are required for this role?

Candidates need a Bachelor’s degree or equivalent, 5+ years of experience with at least 4 years in data reporting, process mapping, supply chain, logistics, or related program management, verified background in building dashboards with SFDC, Wrike, Power BI or similar, strong understanding of information systems integration and data visualization, plus excellent analytical, problem-solving, and communication skills.

What does NVIDIA's company culture feel like?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, fueled by innovation, great technology, and amazing people.

Is the salary specified for this position?

This information is not specified in the job description.

What makes a strong candidate for this Data Analyst role?

A strong candidate will have hands-on experience building dashboards in SFDC, Wrike, or Power BI, a background in supply chain or logistics, and proven skills in cross-functional collaboration, process optimization, and presenting insights to executives.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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