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 a Senior Data Analyst to support our Finance organization in delivering scalable, high-impact solutions for analytical and reporting needs. In this role, you will build system and operational workflows for business leaders to understand the current state, highlight problems, and provide recommendations to resolve issues. You will transform complex financial and operational data—primarily sourced from SAP—into intuitive, accurate, and trusted analytical solutions, such as Power BI or Tableau reports. You'll collaborate closely with Finance partners, IT, and data engineering teams to ensure data accuracy, reliability, and that reporting tools effectively support decision-making, performance tracking, and financial transparency. This hands-on role blends technical proficiency with business insight, ideal for someone passionate about making financial data more accessible and actionable.
What you'll be doing:
Collaborate within Finance and multi-functional teams (e.g., FP&A, Accounting, Procurement, Treasury, Ops, Sales Ops) to define reporting requirements, document business process workflows—including manual steps and pain points—and develop clear resolution roadmaps.
Design and maintain Power BI/Tableau dashboards, curated datasets, and semantic layers to support planning, variance analysis, spend tracking, and capital/investment reporting.
Partner with IT and data engineers to extract, model, and prepare data from SAP (S/4HANA, ECC, BW, Datasphere, BDC) and other systems (e.g., Workday, Coupa) to ensure reliable data foundations.
Ensure reporting accuracy and performance through validation, documentation of critical metrics and logic, and enablement of self-service tools.
Support enhancements, change control, and improve SAP data accessibility within modern platforms (e.g., Databricks, Snowflake).
What we need to see:
Bachelor’s degree in Finance, Business, Information Systems, or related field (or equivalent experience).
8+ years of experience in BI development or financial analytics with strong proficiency in Power BI and/or Tableau.
Hands-on experience with SAP data (S/4HANA, ECC, BW), SQL, and data modeling.
Hands-on experience with implementing Data Warehouse in Databricks.
Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams.
Good attention to detail, communication skills, and commitment to data quality.
Ways to stand out from the crowd:
Experience with SAP Datasphere or Business Data Cloud(BDC).
Proficiency in financial important metrics (general ledger, cost centers, working capital) and experience with reporting automation or expediting financial close.
Exposure to semantic layer development, governed datasets, Python, or AI/ML tools.
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 144,000 USD - 230,000 USD.You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor's degree in Finance, Business, Information Systems, or related field
- 8+ years of experience in BI development or financial analytics
- Strong proficiency in Power BI and/or Tableau
- Hands-on experience with SAP data (S/4HANA, ECC, BW)
- SQL and data modeling experience
- Hands-on experience with implementing Data Warehouse in Databricks
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
