Senior Data Analyst, Capacity Management - DGX Cloud

NVIDIA; United States; In loco; USD 128.000 - 213.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits package

Descrizione del lavoro

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Data Analyst to join the DGX Data team. You will build analytical models for capacity demand, supply, utilization, and performance across DGX Cloud, and develop forecasts to inform planning and leadership decisions.

You will translate ambiguous questions into structured analyses, create datasets and dashboards, and present actionable recommendations to senior leaders.

Competenze

• Bachelor's degree in Engineering, Data Science, or related field, or equivalent experience.
• 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.

Mansioni

• 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.

Conoscenze

SQL

Python

Tableau

Data visualization

Communication

Problem solving

Attention to detail

Formazione

Bachelor's degree in Engineering/Data Science or related field

Strumenti

DGX Cloud

Descrizione del lavoro

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 the pay of employees in similar positions. The base salary range is 128,000 USD - 212,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 1, 2026.

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.