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Intel Corporation

AI Solutions Financial Analyst

Intel Corporation

Early-career analyst role in Intel's finance team focused on AI usage in finance-related tasks. Collaborating with finance leaders to develop tools and solutions for decision support and analysis.

Posted 5/27/2026full-timeFolsom • California, Oregon • 🇺🇸 United StatesJunior💰 $73,820 - $96,100 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.
  • 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.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Vacation
  • Stock bonuses

ATS Keywords

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Hard Skills & Tools
PythonSQLAI Enterprise toolsLLMsworkflow automationfinancial analysismodelingdata analysisdecision support modelsprompt engineering
Soft Skills
analytical skillsproblem-solving skillswritten communicationverbal communicationjudgmentcollaborationadaptabilitycritical thinkingattention to detailcreativity