AI Solutions Financial Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Solutions Financial Analyst (AI): Build practical AI-enabled decision support and workflow automation for revenue and pricing finance, with an accent on connecting and structuring multi-source data, analyzing pricing/mix trends, and developing scenario models using LLM-based tools. Focus on improving speed and decision quality in recurring finance processes while ensuring responsible AI use and strong data quality.
Location: US, California, Folsom (hybrid; on-site at assigned site and off-site)
Salary: $73,820.00–96,100.00 USD (annual)
Company
Finance supports revenue and pricing decisions for ’s Client Computing Group using data, automation, and AI.
What you will do
- Connect and structure data from multiple sources for reliable analysis, automation, and decision support.
- Analyze revenue, pricing, and financial data to improve business decision-making.
- Own pricing and mix analysis deliverables supporting 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 to reduce manual work and improve recurring finance processes.
- Develop decision support models to evaluate scenarios, tradeoffs, and outcomes using modern AI tools (prompt-based and agent-based methods).
Requirements
- Early-career eligibility: 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 have
- 6 months to 2 years of relevant 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 finance decision frameworks such as NPV and ROI.
- Experience with tools such as Copilot or Claude or custom solutions.
Culture & Benefits
- Hybrid work model: split time between on-site at the assigned site and off-site.
- Total compensation package includes competitive pay, stock bonuses, and benefits (health, retirement, vacation).
- Learning and development resources focused on career growth and AI capability development.
- Applied AI work in a real finance environment tied to revenue and pricing decisions.
Hiring process
- Initial consideration based on minimum qualifications; recruiter shares location-specific compensation details during the hiring process.
- Role is not eligible for immigration sponsorship.
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