Business Intelligence Analyst - Marketing

Reposted 3 Days Ago
Santa Clara, CA, USA
In-Office
128K-196K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develops marketing and business intelligence insights for senior leaders across Marketing, Sales, Developer, Finance, and Product. Responsibilities include analyzing campaigns, funnels, pipeline, revenue attribution, and experiments; building dashboards, data models, executive presentations, and AI-assisted analytical workflows; applying statistical judgment; and influencing strategic decisions through actionable recommendations and measurable outcomes.
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.


The NVIDIA Revenue Marketing Team is seeking a Business Intelligence Analyst! We transform sophisticated data into actionable insights for the CMO and collaborators across Marketing, Sales, Developer, Finance, and Product. This role combines the organized problem-solving approach of a management consultant with the technical expertise of a hands-on analyst. We need an AI native, incorporating AI throughout the analytical process, developing reusable solutions, and ensuring the accuracy and business impact of the outcomes.


What you'll be doing:

  • Partner with senior leaders to frame business questions, challenge assumptions, and prioritize analytical work based on business impact. Translate leadership priorities into actionable plans and guide initiatives from recommendation to adoption and measurement.
  • Synthesize complex marketing, sales, and developer insights into concise executive briefs, presentations, and dashboards that explain what is happening, why it matters, and what to do next. Tailor the narrative and level of detail to the audience.
  • Present recommendations to senior executives and lead discussions that advise strategy, investment, and execution. Explain assumptions and tradeoffs, incorporate feedback, and build agreement on decisions and next steps.
  • Examine campaign results, account journeys, funnel conversion, pipeline, and revenue attribution to identify growth opportunities and recommend where to focus resources.
  • Apply statistical methods to test hypotheses, distinguish meaningful changes from noise, and assess the likely success of proposed actions.
  • Develop AI-assisted and agentic workflows that accelerate analysis, anomaly detection, and reporting. Validate outputs against source data, protect critical information, and evaluate whether the resulting insights positively guide decisions.

What we need to see:

  • 8+ years in management consulting at a strategy consulting firm or similar, synthesizing analysis and advising senior executives. A degree or equivalent experience in Business, Economics, Analytics, Statistics, or a related field.
  • Proven experience synthesizing complex analysis into clear recommendations for senior executives, presenting and facilitating discussions in leadership meetings, and influencing cross-functional decisions through adoption and measurable outcomes.
  • An AI-native working approach, proven through analytical workflows or tools you have built and used, with an ability to evaluate generated code and conclusions, identify errors, and apply human judgment.
  • Strong analytical judgment in statistical analysis, experimentation, attribution limitations, and the distinction between correlation and causation. Ability to structure ambiguous questions and explain the implications and limitations of findings.
  • Experience building dashboards, data models, and visualizations in modern AI-first BI tools, with an emphasis on clear data storytelling, usability, and data quality.
  • Shown ownership of analytical projects, strong documentation, and experience influencing cross-functional teams while delivering independently in a constantly evolving environment.

Ways to stand out from the crowd:

  • A track record of influencing senior executive decisions through presentations and business reviews, with examples of recommendations adopted and measurable business outcomes.
  • SQL and practical Python familiarity, with hands-on experience exploring large datasets in a modern cloud analytics platform.
  • Familiarity with Salesforce, Marketo, Adobe Analytics, Tableau, or Amplitude, and with account engagement, pipeline progression, lifecycle measurement, and proactive usage of social listening data.
  • Examples of AI agents, analytical web apps, or automated intelligence briefs embraced by business users, with evidence of improved speed, accuracy, or decision making.
  • Experience with forecasting, marketing incrementality, or developer ecosystem analysis, including product usage and publicly available engagement data.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 128,000 USD – 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 6, 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

  • 8+ years of experience in management consulting at a strategy consulting firm or similar environment
  • Degree or equivalent experience in Business, Economics, Analytics, Statistics, or a related field
  • Experience synthesizing complex analysis into recommendations for senior executives
  • Experience presenting and facilitating leadership discussions
  • Experience influencing cross-functional decisions through adoption and measurable outcomes
  • AI-native analytical workflow experience, including evaluating generated code and conclusions, identifying errors, and applying human judgment
  • Strong analytical judgment in statistical analysis, experimentation, attribution limitations, and correlation versus causation
  • Ability to structure ambiguous questions and explain findings, implications, and limitations
  • Experience building dashboards, data models, and visualizations in modern AI-first business intelligence tools
  • Experience with data storytelling, usability, and data quality
  • Ownership of analytical projects and strong documentation practices
  • Ability to influence cross-functional teams and deliver independently in an evolving environment
  • Track record of influencing senior executive decisions through presentations and business reviews
  • SQL and practical Python familiarity
  • Hands-on experience exploring large datasets in a modern cloud analytics platform
  • Familiarity with Salesforce, Marketo, Adobe Analytics, Tableau, or Amplitude
  • Experience with account engagement, pipeline progression, lifecycle measurement, and social listening data
  • Experience building AI agents, analytical web applications, or automated intelligence briefs
  • Experience with forecasting, marketing incrementality, or developer ecosystem analysis

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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