Senior Data Analyst, Capacity Management

NVIDIA’s DGX Data team is seeking a Senior Data Analyst, Capacity Management to help strengthen capacity planning and operational performance across DGX Cloud. In this onsite role in Santa Clara, CA, you will build analytics models, forecasting views, and dashboards that support infrastructure readiness and leadership decisions.

This position offers a USD 128,000 - 212,750 annual salary range, along with equity and benefits.

What you’ll do

• Build and maintain analytical models for capacity demand, supply, utilization, allocation, and operational performance across DGX Cloud.
• Develop forecasts and scenario analyses to inform business planning and infrastructure readiness.
• Turn ambiguous business questions into structured analyses, datasets, dashboards, and actionable recommendations.
• Develop and implement data-driven strategies to optimize prioritization and support flawless project execution.
• Collaborate with cross-functional teams to identify and resolve supply chain issues.
• Present findings and recommendations to stakeholders, including senior leaders.
• Craft and maintain dashboards and reports to track key performance indicators (KPIs).
• Apply advanced analytical techniques to forecast demand and supply trends.

What you bring

• Bachelor’s degree in Engineering, Data Science, or a related field (or equivalent experience).
• Minimum 8 years of data analysis experience, preferably in supply chain or capacity planning roles.
• Demonstrated ability to implement data-driven strategies and solutions.
• Strong analytical and problem-solving skills.
• Proficiency in SQL, Python, and data visualization tools such as Tableau.
• Strong communication skills, including presenting complex insights to collaborators.
• Diligent, highly organized approach with a strict focus on accuracy.

Technologies

• SQL
• Python
• Tableau

Ways to stand out

• 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.