Data Analyst, Finance

Details

NVIDIA is the world leader in Accelerated Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering Deep Learning software frameworks, accelerated analytics, big data, modern data centers, and driving autonomous vehicles.

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).

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.

Ways to stand out from the crowd

• 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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. If you're creative and autonomous, we want to hear from you! For benefits information, visit www.nvidiabenefits.com.