Analytics Engineer Jobs at NVIDIA with Visa Sponsorship
Analytics Engineer jobs at NVIDIA sit at the intersection of data infrastructure and business intelligence, supporting teams that build the systems powering AI and accelerated computing. NVIDIA has a strong track record of sponsoring international talent for this function, making it a realistic target for visa-dependent candidates with the right technical foundation.
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INTRODUCTION
We are seeking a Director, Supply Chain Sourcing Strategy & Analytics to lead sourcing strategy for critical technologies such as Memory and Storage, build analytical tools that enable faster, smarter decision-making, and develop robust market intelligence assessments. This role sits at the intersection of strategy, market research, and spend analytics—shaping multi-year sourcing strategies informed by market dynamics, translating complex data into clear insights, and guiding executive decisions on supplier selection, commercial structures, and risk management. In this role, you will partner cross-functionally with Research Analysts, Operations, Finance, and Business Unit leadership to drive meaningful improvements across cost, capacity and risk. This role is ideal for someone who thrives at the intersection of infrastructure, operations, and business strategy, supporting NVIDIA’s critical infrastructure needs.
What you'll be doing:
- Build and sustain a robust market intelligence capability across assigned Memory and Storage, including capacity trends, technology roadmaps, cost drivers, lead times, supplier financial health, competitive dynamics, and geopolitical risk.
- Develop and maintain detailed cost driver breakdowns to support negotiations and capital and sourcing decisions.
- Monitor relevant indices and market signals, where applicable, and translate insights into pricing strategies and contract structures.
- Build and operationalize a robust spend analytics capability.
- Partner with Finance and Operations to build forecast-to-commit analytics and drive tighter linkages between sourcing strategy and capacity plans.
- Collaborate in the development of multi-year sourcing strategies aligned with product roadmaps, volume ramps, and technology transitions, while defining the supplier ecosystem approach (multi-sourcing strategies, qualification plans, and risk mitigation).
- Provide analytical support for total cost of ownership (TCO) assessments to inform sourcing and investment decisions.
- Partner with sourcing leaders on complex commercial agreements, including long-term agreements (LTAs), capacity reservations, pricing frameworks, risk-sharing models, lead-time and allocation terms, and supply assurance provisions.
What we need to see:
- Bachelor’s or Master's Degree in related field, or equivalent experience.
- 15+ overall years of procurement strategy and business analytics development and execution experience in technology sector or in management consulting firms.
- 5+ Years experience in a management or leadership capacity.
- Experienced driving business transformation, data and analytics and technology sourcing a plus.
- Experience developing and using key performance indicators to drive operational behavior and executive decision-making.
- Ability to be hands-on and communicate concisely and expertly with executives.
Ways to stand out from the crowd:
- Reporting Tool experience like Tableau, Power BI, etc.
- A proven ability to work in a fast-paced environment where strong organizational skills are essential.
- Ability to provide inspirational leadership and drive organizational growth and change.
- Self-starter with a passion for learning.
- Proven experience influencing business practices.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 13, 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.
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Get Access To All JobsTips for Finding Analytics Engineer Jobs at NVIDIA
Align your portfolio to NVIDIA's data stack
NVIDIA's Analytics Engineer roles consistently require experience with dbt, Snowflake, and large-scale pipeline orchestration. Before applying, build or document projects that reflect those tools. A portfolio gap here gets flagged early in technical screens.
Target NVIDIA's enterprise data and AI divisions
Analytics Engineer openings at NVIDIA cluster around teams supporting go-to-market, revenue operations, and AI infrastructure. Filtering by these business units when searching improves match quality and puts you in front of hiring managers who budget for sponsorship.
Clarify your visa type before the offer stage
NVIDIA sponsors both H-1B and E-3 visas for this role. If you're Australian, the E-3 has no lottery and can move faster. Knowing which pathway applies to you before recruiter calls prevents mismatch and signals you understand the process.
Use Migrate Mate to surface NVIDIA's open Analytics Engineer roles
Analytics Engineer positions at NVIDIA don't all carry the same title. Migrate Mate filters job listings by visa sponsorship history and role type, so you can find active openings that match your background without sorting through listings that won't support your status.
Prepare your specialty occupation documentation early
USCIS scrutinizes Analytics Engineer petitions because the role name spans a wide range of duties. Gather transcripts, degree evaluations, and any employer letters that tie your specific degree field to the data engineering responsibilities in your offer letter before the I-129 is filed.
Ask about NVIDIA's LCA filing timeline during negotiation
Your start date depends on DOL certifying the Labor Condition Application before USCIS can process the H-1B petition. NVIDIA's recruiting team typically coordinates this, but confirming the expected LCA filing date protects you from a start date that slips past your current status expiry.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Analytics Engineers?
Yes, NVIDIA sponsors H-1B visas for Analytics Engineer roles. NVIDIA participates in the annual H-1B lottery each April, so new sponsorships for cap-subject candidates are tied to that cycle. If you're already H-1B visa exempt or transferring from another employer, NVIDIA can file a transfer petition at any point in the year without waiting for the lottery.
How do I apply for Analytics Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers portal. Roles are listed under titles like Analytics Engineer, Senior Analytics Engineer, and Data Analytics Engineer depending on seniority and team. Migrate Mate aggregates NVIDIA's open Analytics Engineer positions filtered by visa sponsorship eligibility, which can save time if you need to confirm a role supports your visa type before applying.
Which visa types does NVIDIA commonly sponsor for Analytics Engineer roles?
NVIDIA sponsors H-1B visas most broadly for this function, which covers the widest range of nationalities. Australian citizens can pursue the E-3 visa instead, which has a separate annual allocation and no lottery, making it a faster path in most years. NVIDIA also supports Green Card sponsorship through the EB-2 and EB-3 employment-based categories for longer-tenured employees.
What qualifications does NVIDIA expect for Analytics Engineer candidates?
Most Analytics Engineer roles at NVIDIA require a bachelor's degree or higher in computer science, statistics, engineering, or a closely related quantitative field. USCIS requires the degree to directly relate to the job duties for specialty occupation classification, so a degree in a loosely related field can complicate the petition. Hands-on experience with dbt, SQL, and cloud data warehouses like Snowflake or BigQuery is consistently expected across posted roles.
How do I navigate the timeline between an offer and my first day at NVIDIA?
For H-1B transfers, NVIDIA can typically file as soon as you have an offer, and you can start once USCIS issues a receipt notice if you're already in valid H-1B status. For new cap-subject petitions, the earliest possible start date after an April lottery selection is October 1. For E-3 visa applicants, the timeline is shorter since you apply directly at a U.S. consulate and can receive the visa stamp within a few weeks of the interview.