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Data Analyst – Finance

Data Analyst – Finance

CompanyNVIDIA
LocationSanta Clara, CA, USA
Salary$116000 – $195500
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • Bachelor’s degree in Finance, Business, Information Systems, or related field (or equivalent experience).
  • 5+ 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.
  • Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams.
  • Strong attention to detail, communication skills, and commitment to data quality.

Responsibilities

  • Collaborate within Finance and cross-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).

Preferred Qualifications

  • Experience with SAP data extraction tools (e.g., CDS Views, BEx, ODP) and modern cloud platforms (Databricks, Snowflake, Synapse).
  • 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.