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.

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.

AI Solutions Financial Analyst

Key skills