Senior Revenue Data Analyst - Financial Reporting

NVIDIA•Santa Clara, CA

15h•$144,000 - $230,000

About The Position

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 Revenue Data Analyst to join our Sales Finance Analytics team. This role is designed for a business analysis expert who thrives at the intersection of financial reporting support, data governance, and systems optimization. As a pillar of the FP&A team, you will champion the accuracy and consistency of our financial data, aligning internal pipelines with external reporting standards. Through data processing and rigorous reconciliation management, you will safeguard our data integrity, streamline audit readiness, and transform raw data into verifiable financial truth. This is a critical position within the Finance organization, requiring knowledge of product, advanced tools, analytical skills and analytical capabilities, great attention to detail, and ability to execute to the Company’s timelines. It is a visible role within Finance for an energetic individual who thrives on inspiring change and impacting the business in a dynamic, fast-paced environment.

Requirements

8+ years of experience in FP&A or Sales Operations experience, working closely with business partners from multiple departments.
Proficiency in Excel, SQL, Python, Tableau or Power BI.
Strong data modeling skills in SQL is essential.
Bachelor's degree or equivalent experience in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Finance or Economics.
Experience in presenting findings from data analyses to senior management and other team members.
Highly motivated self-starter with the ability to work independently in a fast-paced and ambiguous environment, managing multiple priorities and leading change and process improvement.

Nice To Haves

MBA or equivalent experience is a plus.
Experience in data center hardware such as computer networking, CPUs or GPUs, hard drives, RAM or SSDs.
Experience in applying accounting principles such as general ledgers, contra-revenue ASC 606 standards.
Experience in audit, such as SOX controls, SOX system processes.
Knowledge or experience in Salesforce, SAP COPA, SAP SD, SAP BPC.

Responsibilities

Act as a translator and steward of financial data, guiding users to understand and properly employ our single source of truth reporting by demonstrating your knowledge of data center hardware and product roadmap.
Manage multiple workstreams and maintain common custom fields used across different requests.
Analyze large data sets across multiple platforms and systems with the ability to synthesize the data to draw conclusions, provide business insights and tell a story through data.
Design and implement advanced data processing solutions in python to identify and analyze customer and product sales behaviors for comprehensive analytics.
Participate in the development and maintenance of data governance policies and procedures, ensuring data integrity, quality, consistency, and compliance with relevant regulations.
Collaborate with multi-functional teams to find opportunities for process optimization, building consensus, automation, and cost reduction.
Design and build new reporting processes by using SQL, AI Tools, financial reporting standards, and database management experience.
Develop a contextual AI agent that automates reconciliation and consistency across different partners and maintains that consistency with previous submissions as well as external reporting.
Apply your experience in Financial Analysis/FP&A to explain financial performance (revenue, COGS, Gross Margin, etc.) with a product-centric approach