Senior Data Analyst - Finance

at Nvidia

📍 Santa Clara, United States

USD 144,000-230,000 per year

SENIOR

✅ On-site

Used Tools & Technologies

Machine Learning

Required Skills & Competences
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.

Python @ 4 SQL @ 7 Tableau @ 4 Technical Proficiency @ 6 Communication @ 7 Data Engineering @ 4 BI @ 4 Databricks @ 4 Reporting @ 4 Power BI @ 4 Snowflake @ 4 AI @ 4 Data Modeling @ 7

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. We are seeking a Senior Data Analyst to support the Finance organization in delivering scalable, high-impact solutions for analytical and reporting needs. This hands-on role blends technical proficiency with business insight to transform complex financial and operational data—primarily sourced from SAP—into intuitive, accurate, and trusted analytical solutions.

Responsibilities

Collaborate within Finance and cross-functional teams (FP&A, Accounting, Procurement, Treasury, Ops, Sales Ops) to define reporting requirements, document business process workflows (including manual steps and pain points), and develop 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 engineering 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).

Requirements

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) and familiarity with SAP Datasphere/BDC.
Strong SQL and data modeling skills.
Hands-on experience implementing a Data Warehouse in Databricks.
Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams.
Attention to detail, strong communication skills, and commitment to data quality.

Ways to Stand Out

Experience with SAP Datasphere or Business Data Cloud (BDC).
Proficiency in financial 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.

Compensation & Benefits

Base salary range: 144,000 USD - 230,000 USD (determined based on location, experience, and pay of employees in similar positions).
Eligible for equity and benefits; see NVIDIA benefits information on the company site.

Additional Information

Applications for this job will be accepted at least until June 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.