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NVIDIA logo

Revenue and Pricing Business Analyst

NVIDIA · Santa Clara, CA · Posted 9 days ago

$124k–$230konsiteic
5+ yrs expSQLExcelETLTableauPower BIDatabricksSnowflakeFinancial Modeling

Shape how NVIDIA prices and rebates its GPU products by building the production-grade revenue data models that become the single source of truth for Product FP&A.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. 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 a diverse, 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.

We are seeking an exceptiona l Revenue and Pricing Finance Analyst to join our Sales Finance Revenue Analytics team, based in our Santa Clara office. As part of the Product FP&A team, you will support critical activities and data products related to revenue, pricing, and rebates. This is a unique opportunity requiring proven experience with financial concepts, business processes, and data analysis.

What you’ll be doing:

  • Develop and maintain data models for pricing and rebate analysis, consolidating and curating data from multiple systems into a single source of truth.
  • Collaborate with multi-functional teams to find opportunities for process optimization, automation, and standardization.
  • Prepare revenue analysis and reporting, maintaining the highest standards of data integrity, quality, and compliance with relevant regulations.
  • Evolve reporting processes from ad-hoc analyses and prototypes to production-ready, systematized workflows.
  • Develop a thorough understanding of our business and processes to inform our data strategy.

What we need to see:

…

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