Senior Revenue Data and Information System Support Analyst

Reposted 20 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
124K-230K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Build and maintain revenue analytics data repositories, reports, dashboards, data models, and governance processes. Analyze large datasets across multiple systems to generate business insights, improve reporting accuracy, and identify customer and product sales behaviors. Collaborate with cross-functional teams on automation, process optimization, cost reduction, and change management. Present findings to senior leaders and support data-driven business decisions.
Summary Generated by Built In

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 exceptional Senior Revenue Data and Information System Support Analyst to join our Sales Finance Analytics team. As an integral member of the FP&A team, our organization’s overarching responsibilities are to deliver the highest caliber of relevant financial and business analysis that is both insightful and measurable, enabling effective decisions-making at all levels of the company and improving our financial performance. This is a critical position within the Finance organization, requiring knowledge of product, advanced tools, analytical skills and analytical capabilities, great attention to detail, and ability to execute to the Company’s timelines.


What you’ll be doing:

  • Contribute to developing and maintaining a single source of truth data repository for revenue analytics to be used across the company, driving consistency and accuracy in reporting and decision-making across all business lines.
  • Design and create comprehensive reports and dashboards for end-to-end analytics of company processes, enabling data-driven insights and performance tracking.
  • Analyze large data sets across multiple platforms and systems with the ability to synthesize the data to draw conclusions, provide business insights, and tell a story through data.
  • Design and implement advanced data processing solutions to identify and analyze customer and product sales behaviors for comprehensive analytics.
  • Maintain data models to handle disparate data sources, managing manual processes with a focus on continuous improvement to the single source of truth data repository.
  • Participate in the development and maintenance of data governance policies and procedures, ensuring data integrity, quality, and compliance with relevant regulations.
  • Collaborate with multi-functional teams to find opportunities for process optimization, building consensus, automation, and cost reduction.

What we need to see:

  • 5+ years of experience in data modeling, reporting, and analysis, working closely with business partners. Proficiency in Excel, Databricks, SQL, Python, Tableau or Power BI. Strong data modeling skills in SQL is essential.
  • Bachelor's degree or equivalent experience in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Finance or Economics. MBA or equivalent experience is a plus.
  • Product first thinking and demonstrated success in driving data-driven business growth and process improvements in a similar industry or role.
  • Experience in presenting findings from data analyses to senior management and other team members.
  • Demonstrable ability to design and implement change management plans, driving new processes and analytics that influence business decisions and outcomes.
  • Highly motivated self-starter with the ability to work independently in a fast-paced and ambiguous environment, managing multiple priorities and leading change and process improvement.

Ways to stand out from the crowd:

  • Experience in Power BI semantic modeling and Tabular Editor.
  • Knowledge or experience in Salesforce, SAP SD, SAP COPA/CPOC, SAP RAR, SAP BW, SAP BPC, SAP IBP, or Anaplan.

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 ranges for this position are:
124,000 USD – 195,500 USD for Level 3; and 144,000 USD – 230,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

Skills Required

  • 5+ years of experience in data modeling, reporting, and analysis while working closely with business partners
  • Proficiency in Excel, Databricks, SQL, Python, Tableau, or Power BI
  • Strong SQL data modeling skills
  • Bachelor's degree or equivalent experience in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Finance, or Economics
  • Experience presenting data analysis findings to senior management and other team members
  • Ability to design and implement change management plans and drive new processes and analytics
  • Ability to work independently in a fast-paced, ambiguous environment while managing multiple priorities and leading process improvement
  • Product-first thinking and demonstrated success driving data-driven business growth and process improvements
  • MBA or equivalent experience
  • Experience with Power BI semantic modeling and Tabular Editor
  • Knowledge or experience with Salesforce, SAP SD, SAP COPA/CPOC, SAP RAR, SAP BW, SAP BPC, SAP IBP, or Anaplan

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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