Senior Revenue Data Analyst - Financial Reporting

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Revenue Data Analyst role at NVIDIA, focusing on financial reporting support, data governance, and systems optimization. The role involves analyzing large datasets, designing data processing solutions in Python, and building reporting processes using SQL and AI tools. A key responsibility is developing a contextual AI agent to automate reconciliation and consistency checks for financial data.

What you'd actually do

  1. 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.
  2. Manage multiple workstreams and maintain common custom fields used across different requests.
  3. 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.
  4. Design and implement advanced data processing solutions in python to identify and analyze customer and product sales behaviors for comprehensive analytics.
  5. Participate in the development and maintenance of data governance policies and procedures, ensuring data integrity, quality, consistency, and compliance with relevant regulations.

Skills

Required

  • Excel
  • SQL
  • Python
  • Tableau or Power BI
  • data modeling skills in SQL
  • data center hardware
  • computer networking
  • CPUs or GPUs
  • hard drives
  • RAM or SSDs
  • accounting principles
  • general ledgers
  • contra-revenue ASC 606 standards
  • audit
  • SOX controls
  • SOX system processes
  • Salesforce
  • SAP COPA
  • SAP SD
  • SAP BPC

Nice to have

  • MBA or equivalent experience

What the JD emphasized

  • rigorous reconciliation management
  • data integrity
  • audit readiness
  • financial data
  • product
  • advanced tools
  • analytical skills
  • analytical capabilities
  • attention to detail
  • execute to the Company’s timelines
  • data governance policies and procedures
  • data integrity
  • quality
  • consistency
  • compliance
  • automation
  • AI agent
  • reconciliation
  • consistency
  • financial performance
  • product-centric approach
  • Proficiency in Excel, SQL, Python, Tableau or Power BI
  • Strong data modeling skills in SQL is essential
  • work independently
  • fast-paced and ambiguous environment
  • managing multiple priorities
  • leading change and process improvement
  • audit
  • SOX controls
  • SOX system processes