NVIDIA

Technology

SeniorDataAnalyst

$144–230k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Analyst at NVIDIA. Skills: BI development, Financial analytics, Data modeling, SAP data. Define reporting requirements. Document business process workflows”

What You'll Achieve.

Deliver scalable, high-impact solutions; Support decision-making; Support performance tracking; Support financial transparency

Industry & Context.

Technology
Problems you'll solve

Highlight problems; Provide recommendations; Resolve issues

What They're Looking For.

Must Have

Bachelor’s degree in Finance, Business, Information Systems, or related field (or equivalent experience), 8+ years of experience in BI development or financial analytics, Proficiency in Power BI and/or Tableau, Hands-on experience with SAP data (S/4HANA, ECC, BW), SQL proficiency, Data modeling experience, Experience implementing Data Warehouse in Databricks, Ability to translate business needs into scalable reporting solutions, Collaborate across technical and business teams, Good attention to detail, Commitment to data quality

Nice to Have

Experience with SAP Datasphere or Business Data Cloud(BDC), Proficiency in financial important metrics, Experience with reporting automation, Experience expediting financial close, Exposure to semantic layer development, Exposure to governed datasets, Exposure to Python, Exposure to AI/ML tools

What You'll Do.

Define reporting requirements

Document business process workflows

Develop clear resolution roadmaps

Design Power BI/Tableau dashboards

Maintain Power BI/Tableau dashboards

Build semantic layers

Extract data from SAP

Prepare data from SAP

Extract data from other systems

Model data from other systems

Prepare data from other systems

Ensure reporting accuracy

Ensure reporting performance

Enable self-service tools

Support change control

Improve SAP data accessibility

How You'll Work.

Team & Collaboration

Finance teams; Multi-functional teams; IT teams; Data engineering teams; Technical teams; Business teams

Communication Scope

Business needs translation

Process & Methodology

Roadmap planning

Full Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Data Analyst to support our Finance organization in delivering scalable, high-impact solutions for analytical and reporting needs. In this role, you will build system and operational workflows for business leaders to understand the current state, highlight problems, and provide recommendations to resolve issues. You will transform complex financial and operational data—primarily sourced from SAP—into intuitive, accurate, and trusted analytical solutions, such as Power BI or Tableau reports. You'll collaborate closely with Finance partners, IT, and data engineering teams to ensure data accuracy, reliability, and that reporting tools effectively support decision-making, performance tracking, and financial transparency. This hands-on role blends technical proficiency with business insight, ideal for someone passionate about making financial data more accessible and actionable. **What you 'll be doing:** * 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 suppor

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