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 an inclusive, 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.
Are you ready to develop the future of computing? At NVIDIA, we are leading in AI and accelerated computing, and we are looking for a Senior Data Analyst to join our DGX Data team. Located in Santa Clara, CA, this role offers an outstanding opportunity to work with innovative technology and be part of a highly skilled team. If you are ambitious and thrive in a collaborative environment, this could be the perfect fit for you!
What you'll be doing:
- Build and maintain analytical models for capacity demand, supply, utilization, allocation, and operational performance across DGX Cloud.
- Develop forecasts and scenario analyses to support business planning, infrastructure readiness, and leadership decision-making.
- Translate ambiguous business questions into structured analyses, datasets, dashboards, and recommendations.
- Developing and implementing data-driven strategies to optimize prioritization and drive flawless execution of projects.
- Collaborating with cross-functional teams to identify and resolve supply chain issues.
- Present findings and recommendations to cross-functional stakeholders, including senior leaders.
- Crafting and maintaining dashboards and reports to track key performance indicators.
- Applying advanced analytical techniques to forecast demand and supply trends.
What we need to see:
- Bachelor's degree in Engineering, Data Science, or a related field, or equivalent experience.
- Minimum of 8 years of experience in data analysis, preferably within supply chain or capacity planning roles.
- Proven ability to successfully implement data-driven strategies and solutions.
- Outstanding analytical and problem-solving skills.
- Proficiency in SQL, Python, and data visualization tools such as Tableau.
- Strong communication skills, with the ability to present complex data insights to collaborators.
- Diligent and highly organized, with a strict focus on accuracy.
Ways to stand out from the crowd:
- Advanced degree or equivalent experience in a relevant field.
- Experience working in a fast-paced, high-tech environment.
- Understanding of AI and machine learning applications.
- Proven track record of leading data analysis projects to completion.
- Strong project management skills.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 128,000 USD – 212,750 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's degree in Engineering, Data Science, or a related field, or equivalent experience
- At least 8 years of experience in data analysis, preferably in supply chain or capacity planning
- Experience implementing data-driven strategies and solutions
- Strong analytical and problem-solving skills
- Proficiency in SQL
- Proficiency in Python
- Proficiency in data visualization tools such as Tableau
- Strong communication and presentation skills for explaining complex data insights
- Highly organized and accurate work style
- Advanced degree or equivalent experience in a relevant field
- Experience in a fast-paced, high-tech environment
- Understanding of AI and machine learning applications
- Experience leading data analysis projects to completion
- Strong project management skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
