Jobs / United States / Nvidia Corporation

Nvidia Corporation

Business Intelligence Analyst - Marketing

US, CA, Santa Clara Posted today

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Skills this job asks for

LeadershipStatisticsA/B testing

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Nvidia Corporation paid sponsored hires in similar roles22 certified filings for “Business Systems Analyst” (Computer Systems Analysts) in CA: $170k–$191k, median $191k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Nvidia Corporation paid sponsored hires in similar roles
22 certified filings for “Business Systems Analyst” (Computer Systems Analysts) in CA: $170k–$191k, median $191k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 wh

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