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.
We are seeking a 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 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).
What we need to see:
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. We have some of the most forward-thinking and hardworking people in the world working for us and if you're creative and autonomous, we want to hear from you! As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/.
The base salary range is 116,000 USD - 195,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
