AI Solutions Financial Analyst

Responsibilities

• Connect and structure data from multiple sources so it can be used reliably for analysis, automation, and decision support.
• Analyze revenue, pricing, and financial data to help teams make better business decisions.
• Own key deliverables such as pricing and mix analysis to support weekly revenue updates and quarterly revenue sale plan development
• Evaluate customer pricing and mix trends to support revenue planning and margin evaluation
• Build AI-enabled solutions that reduce manual work and improve recurring finance processes.
• Develop decision support models that help leaders evaluate scenarios, tradeoffs, and outcomes.
• Use modern AI tools and workflow approaches, including prompt-based and agent-based methods, where they improve insight or execution.
• Partner with finance, business, and technical teams to turn real problems into working solutions.
• Test, refine, and improve solutions as tools and capabilities evolve.
• Apply sound judgment around data quality, responsible AI use, and good finance practices.
• Why This Role Stands Out
• You will work on applied AI in a real finance environment, not side projects or slideware.
• Your work will be tied to revenue and pricing decisions that matter to the business.
• You will work directly with finance leaders and cross-functional partners.
• The role gives an early-career candidate a chance to build modern skills across finance, analytics, automation, and AI in a live business setting.
• Intel Finance has learning and development resources focused on career growth and AI capability development.

Requirements

• Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This position is not eligible for Intel immigration sponsorship.
• Bachelor's or Master's degree in Finance, Accounting, Economics, Computer Science, or a related field.
• Experience with AI Enterprise tools, Python and/or SQL.
• Hands-on use of LLMs/AI tools for analysis, summarization, or workflow automation.
• Strong analytical and problem-solving skills.
• Clear written and verbal communication.
• Interest in using AI and data to solve real business problems.
• 6months to 2 years of relevant work experience in analytics, finance, automation, or AI-related work.
• Exposure to prompt engineering, RAG, or agent-based AI approaches.
• Exposure to corporate financial statements, financial analysis, and basic modeling.
• Familiarity with common finance decision frameworks such as NPV and ROI.
• Experience with tools such as Copilot or Claude or custom solutions is a plus, but not required.
• Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
• Job Type:
• College Grad
• Shift:
• Shift 1 (United States of America)
• Primary Location:
• US, California, Folsom
• Additional Locations:
• US, California, Santa Clara, US, Oregon, Hillsboro
• Business group:
• Posting Statement:
• All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical c

Additional Information

Job Details: Job Description: Role Summary Intel Finance is hiring an early-career analyst to help build how AI gets used in real finance work. This role sits in our Revenue and Pricing Finance organization supporting our Client Computing Group, Intel's largest business unit, and focuses on using data, automation, and AI to improve speed, decision quality, and execution. It reports directly to the Director of Revenue and Pricing Finance and works across Client Computing Group Finance on cross-group projects. This role will help shape the future of how people will work with AI in finance. The work is practical and hands-on. You will help connect data, streamline manual work, and build solutions that finance teams and leaders can actually use. That includes decision support tools, workflow automation, and AI-enabled approaches where they add value. 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.

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