Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
BI @ 6
ChatGPT @ 6
Claude Code @ 4
Communication @ 7
Data Modeling @ 7
Data Science @ 4
Databricks @ 4
Power BI @ 6
Python @ 6
SQL @ 6
Tableau @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior Finance Data Analyst to join the Corporate Finance Investments team based at the Santa Clara campus. The team provides relevant financial and business information to support effective decision-making and improve financial performance. This role requires deep finance analytics experience, advanced automation and data skills, attention to detail, and the ability to deliver solutions within company timelines.
Responsibilities
- Act as a translator and steward of operating expense, capital, headcount, and purchase order data, guiding users in understanding and properly leveraging data sources and solutions.
- Develop, prototype, build, and maintain data solutions using SQL, AI and business intelligence tools, financial reporting standards, and database management practices.
- Develop AI agents that automate finance processes, collect and transform data, and produce high-quality reporting and analysis.
- Manage multiple workstreams, assess risks and issues, and deliver solutions on time.
- Ensure solutions are scalable, reliable, secure, and meet performance requirements.
- Support solutions by monitoring data quality, enhancing solutions, resolving issues, and training end users.
- Collaborate with multifunctional teams to identify opportunities for process optimization, consensus building, automation, and cost reduction.
Requirements
- At least 5 years of experience in FP&A, working closely with business partners across multiple departments.
- Proficiency in Excel, SQL, Python, AI tools such as Claude, Cursor, and/or ChatGPT Work, and Tableau or Power BI.
- Strong SQL data modeling skills.
- Bachelor's degree or equivalent experience in Finance, Economics, Business Administration, Business Analytics, Data Science, Information Systems, Computer Science, or Engineering. An MBA or equivalent experience is a plus.
- Experience delivering user-focused AI and data solutions.
- Ability to work independently in a fast-paced and ambiguous environment, manage multiple priorities, and drive operational improvements.
- Strong communication and interpersonal skills, with the ability to build successful relationships.
Preferred Qualifications
- Experience with operating expense, capital, headcount, or purchase order data.
- Strong ownership ethic and focus on accuracy, accountability, work quality, and continuous improvement.
- Experience automating finance workflows beyond Excel by developing agents and skills using Claude Code, ChatGPT Work, Cursor, Python, and SQL.
- Knowledge of or experience with SAP S4, SAP BPC, SAP HANA, and Databricks.
Benefits
- Base salary range of USD 124,000–195,500 for Level 3.
- Base salary range of USD 144,000–230,000 for Level 4.
- Eligibility for equity and benefits.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
The base salary will be determined based on location, experience, and the pay of employees in similar positions. Applications will be accepted at least until October 9, 2026.
More jobs at Nvidia
Staff Technical Program Manager - Autonomous Vehicle Platform
Nvidia · Santa Clara, United States
USD 200,000-379,500 per year
Senior Engineering Manager, Graphics APIs and Platforms
Nvidia · Santa Clara, United States
USD 272,000-431,200 per year
Senior Research Scientist - AI Security
Nvidia · Seattle, United States
USD 168,000-304,800 per year
Senior GPU Validation Engineer
Nvidia · Santa Clara, United States
USD 140,000-270,200 per year
Principal Engineer - Data Retrieval
Nvidia · United States
USD 272,000-431,200 per year
Similar jobs
Senior Full-Stack Qlik Sense Engineer
Bloomberg · New York City, United States
USD 160,000-220,000 per year
Director, Analytics Engineering
GitLab · United States
USD 139,200-285,600 per year
Senior System and Reporting Analyst
Nvidia · Santa Clara, United States
USD 144,000-230,000 per year
Data Analyst - Transaction Banking
ABN AMRO · Amsterdam, Netherlands
EUR 55,600-79,400 per year
Director, Finance Systems - Revenue Systems Engineering
Anthropic · San Francisco, United States, Seattle, United States
USD 270,000-315,000 per year
Data Visualization Engineer
SpaceXAI · Palo Alto, United States
USD 132,000-198,000 per year
Senior Data Management Professional - Data Engineering (Data AI)
Bloomberg · New York City, United States
USD 110,000-190,000 per year
Customer Success Insights Engineer
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year