Nvidia Financial Analyst 

United States, California 

597624452

What you'll be doing:

• Complete monthly and quarterly financial closing, planning, and reporting processes.

• Focus areas will be Enterprise software and applications.

• Build and maintain robust financial models for accurate forecasting and analysis.

• Monitor business performance metrics and provide insights on key drivers.

• Continuously drive operational improvement in financial consolidation and reporting activities.

• Collaborate with BU finance, cost accounting, and operations teams to maintain, validate, and reconcile data in forecasting and reporting systems.

• Prepare periodic internal financial reports and presentation materials.

• Partner with FP&A teams to maintain hierarchies and mappings needed for management and external reporting.

• Leverage automation and AI tools to create efficient spend reporting solutions.

What we need to see:

• 5+ years of experience in finance, business, or analytics, within a global, high-tech corporation.

• Bachelor’s degree in finance, accounting, economics, or a business-related field (or equivalent experience).

• Proficiency in ERP systems (e.g., SAP) and experience working with large datasets.

• Advanced Microsoft Excel skills, experience with BPC, Power BI, Python and SQL are required.

• An ability to balance working in the weeds as well as seeing the big picture.

• Detail-oriented with a strong focus on accuracy and completeness.

• Excellent communication and interpersonal skills, with an ability to build relationships and collaborate with individuals at all levels of an organization.

Ways to stand out from the crowd:

• Master’s degree or equivalent experience in business administration, finance, or accounting.

• Experience in the Semiconductor industry or Corporate FP&A.

• Self-starter and problem solver, comfortable dealing with complexity, ambiguity, changes, and tight deadlines.

• Demonstration of high level analytical and financial modeling skills, with a proven track record of driving process and system improvements.

• Usage of automation and AI tools to streamline recurring work.