Senior Finance Data Analyst

AI in this role

chatgptclaudedatabrickscursorclaude-code

ai-agents

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 Finance Data Analyst to join our Corporate Finance Investments team based out of our Santa Clara campus. As an integral member of the team, our organization’s overarching responsibilities are to provide the highest caliber of relevant financial and business information that is both informative and measurable, enabling effective decision-making at all levels of the Company and improving our financial performance. This is a critical position within the Finance organization, requiring deep finance analytics experience, advanced automation and data skills, attention to detail, and ability to deliver to Company’s timelines. We are looking for an upbeat individual who thrives in a collaborative, fast-paced and execution-oriented environment passionate about achieving goals, and with good communication skills.

What you’ll be doing:

Act as a translator and steward of operating expense, capital, headcount and purchase order data, guiding users to understand and properly leverage data sources / solutions.
Develop, prototype, build and maintain data solutions by using SQL, AI and BI Tools, financial reporting standards, and database management experience.
Develop AI agents that automate finance processes, collect and transform data, and produce reporting/analysis while maintaining high quality.
Manage multiple workstreams, assess risks/issues and deliver solutions on time.
Ensure solutions are scalable, reliable, secure and meet performance requirements. Support solutions through monitoring data quality, enhancing solutions, resolving issues and training end-users.
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 FP&A, working closely with business partners from multiple departments. Proficiency in Excel, SQL, Python, AI Tools (Claude, Cursor and/or ChatGPT Work), Tableau or Power BI. Strong data modeling skills in SQL is essential.
Bachelor's degree or equivalent experience in Finance, Economics, Business Administration, Business Analytics, Data Science, Information Systems, Computer Science or Engineering. MBA or equivalent experience is a plus.
End-user focused and experienced in delivering game-changing AI and data solutions.
Highly motivated self-starter with the ability to work independently in a fast-paced and ambiguous environment, simultaneously manage several priorities, and challenge the status quo to drive change and operational improvement.
Superb communication and interpersonal skills demonstrating ability to build successful relationships.

Ways to stand out from the crowd:

Experience with operating expense, capital, headcount or purchase order data.
Strong ownership ethic and intense focus on accuracy and accountability; take pride of work quality, strive for improvements; operate with strong team-work spirit..
Experience automating finance workflows beyond Excel by developing agents and skills using Claude Code, ChatGPT Work, Cursor, Python and SQL.
Knowledge or experience in SAP S4, SAP BPC, SAP HANA and Databricks.

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 the pay of employees in similar positions. The base salary range is 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 October 9, 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

Senior Finance Data Analyst at NVIDIA rates 47 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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. Open the description and count.

Key facts

Senior Finance Data Analyst is an open job at NVIDIA.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $124k-$196k a year.
The role is based in US, CA, Santa Clara.
The job was posted on October 5, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsChatGPTClaudeDatabricksCursorClaude Code

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used ChatGPT in your day-to-day work.
What are the limits of Claude that you've run into, and how did you work around them?
What's a project where you used Databricks hands-on?
Walk me through how you've used Cursor in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Agents, ChatGPT, Claude, Databricks, and Cursor. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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