Senior Data Analyst, Capacity Management - DGX Cloud

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is seeking a Senior Data Analyst to join its DGX Data team and support capacity management across DGX Cloud. Based in Santa Clara, California, the role focuses on analyzing capacity demand, supply, utilization, allocation, and operational performance. The analyst develops forecasts and scenario analyses to inform business planning, infrastructure readiness, and leadership decisions, and turns ambiguous business questions into structured analyses, datasets, dashboards, and recommendations. The role works with cross-functional stakeholders, including senior leaders, to optimize prioritization, address supply chain issues, track performance, and guide project execution.

Requirements

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.
Demonstrated ability to 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, including the ability to present complex data insights to collaborators.
Diligence, strong organization, and a strict focus on accuracy.

Nice To Haves

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.

Responsibilities

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.
Develop and implement data-driven strategies to optimize prioritization and drive project execution.
Collaborate with cross-functional teams to identify and resolve supply chain issues.
Present findings and recommendations to cross-functional stakeholders, including senior leaders.
Create and maintain dashboards and reports to track key performance indicators.
Apply advanced analytical techniques to forecast demand and supply trends.