Revenue Financial Analyst

Intel•Folsom, CA

1d•Hybrid

About The Position

Join Intel's revenue finance team supporting our largest business unit, the Client Computing Group. This role sits in our Revenue and Pricing Finance organization focusing on performing financial forecasting, quarter close activities, and supporting business decision making. As a Revenue Financial Analyst, you'll play a critical role in reporting and analyzing financial trends to help inform our business leaders on real business decisions. Examples can include revenue strategy, product mix analysis, pricing strategy and margin analysis. This position directly reports to the Director of Revenue and Pricing Finance. This role is a good fit for an early-career professional who wants to work across finance, data, and AI. Candidates with internships, applied academic work, or up to a couple of years of relevant experience are all in scope for this role.

Requirements

Bachelor's or Master's degree in Finance, Accounting, Economics, Computer Science, or a related field.
6+ months to 1 year of relevant experience through internships, coursework or work in finance.
Clear written and verbal communication.
Demonstrates strong interest or exposure in using AI and data to solve real business problems.

Nice To Haves

Exposure to corporate financial statements, financial analysis, and basic modeling.
Familiarity with common finance decision frameworks such as NPV and ROI.
Strong analytical and problem solving skills.

Responsibilities

Analyze revenue, pricing, and financial data to help teams make better business decisions.
Evaluate customer pricing and mix trends to support revenue planning and margin evaluation.
Execute and organize major finance processes across finance and operations, including forecast and close quarterly cycles.
Partner on AI-enabled solutions that reduce manual work and improve recurring finance processes.
Collaborate cross-functionally with finance and operations teams to ensure process efficiency and accuracy.
Drive automation initiatives and leverage AI technologies to enhance modeling capabilities and generate actionable business insights.
Maintain process organization to ensure timely completion of all financial cycles and deliverables.
Identify opportunities for process improvement and enhanced analytical capabilities.