Senior Data Analyst - Finance

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Data Analyst role supporting the Finance organization with analytical and reporting needs, building workflows, transforming financial data into reports using Power BI/Tableau, and collaborating with IT/data engineering teams for data extraction and modeling from SAP and other systems.

What you'd actually do

  1. 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.
  2. Design and maintain Power BI/Tableau dashboards, curated datasets, and semantic layers to support planning, variance analysis, spend tracking, and capital/investment reporting.
  3. 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.
  4. Ensure reporting accuracy and performance through validation, documentation of critical metrics and logic, and enablement of self-service tools.
  5. Support enhancements, change control, and improve SAP data accessibility within modern platforms (e.g., Databricks, Snowflake).

Skills

Required

  • 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
  • Hands-on experience with implementing Data Warehouse in Databricks
  • Ability to translate business needs into scalable reporting solutions
  • Collaborate across technical and business teams
  • Attention to detail
  • Communication skills
  • Commitment to data quality

Nice to have

  • Experience with SAP Datasphere or Business Data Cloud(BDC)
  • Proficiency in financial important metrics (general ledger, cost centers, working capital)
  • Experience with reporting automation or expediting financial close
  • Exposure to semantic layer development
  • Governed datasets
  • Python
  • AI/ML tools

What the JD emphasized

  • Hands-on experience with SAP data (S/4HANA, ECC, BW), SQL, and data modeling.
  • Hands-on experience with implementing Data Warehouse in Databricks.