AI Solutions Financial Analyst

IntelFolsom, CA
Hybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 6 months 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.

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.

Benefits

  • Competitive pay
  • Stock bonuses
  • Health benefits
  • Retirement benefits
  • Vacation benefits
  • Learning and development resources focused on career growth and AI capability development.
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