Senior Data Analyst - Finance

NVIDIA•Us, CA

About The Position

NVIDIA is seeking a Senior Data Analyst to support its Finance organization in delivering scalable, high-impact solutions for analytical and reporting needs. In this role, the analyst will build system and operational workflows for business leaders to understand the current state, highlight problems, and provide recommendations to resolve issues. The position involves transforming complex financial and operational data, primarily sourced from SAP, into intuitive, accurate, and trusted analytical solutions using tools like Power BI or Tableau. Collaboration with Finance partners, IT, and data engineering teams is crucial to ensure data accuracy, reliability, and that reporting tools effectively support decision-making, performance tracking, and financial transparency. This hands-on role requires a blend of technical proficiency and business insight, targeting individuals passionate about making financial data more accessible and actionable.

Requirements

Bachelor’s degree in Finance, Business, Information Systems, or related field (or equivalent experience).
8+ 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.
Hands-on experience with implementing Data Warehouse in Databricks.
Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams.
Good attention to detail, communication skills, and commitment to data quality.

Nice To Haves

Experience with SAP Datasphere or Business Data Cloud(BDC).
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.

Responsibilities

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.
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).