Business Intelligence Analyst - Marketing
NVIDIA is hiring a Business Intelligence Analyst - Marketing in Santa Clara, United States. It pays $128k-$196k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this data analyst role: the daily work is on AI products, without building the model.
- Pay on this posting starts 14% higher than the typical data analyst posting on Level.
- The posting mentions AI agents, business intelligence and data analysis among its tools and skills.
- NVIDIA has 2,700+ other open roles on Level.
- Posted within the past two weeks.
AI in this role
Drive marketing analytics and executive reporting using AI-assisted workflows and advanced data analysis techniques.
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 the pay of employees in similar positions. The base salary range 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 October 16, 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.How we rate this
Business Intelligence Analyst - Marketing at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- This job starts at
- $128k
- Typical data analyst job
- $112k
This posting starts 14% above the typical data analyst job. See data analyst jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where ai workflows was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Business Intelligence, Data Analysis, AI Workflows, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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