- Robot type
- Drone · Defense
- Location
- Simi ValleyCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Aug 16, 2026
- Salary
- $89,000–$135,750 a year
Senior Data & AI Analyst, Finance Systems
Job description
Summary The Senior Data & AI Analyst, Finance Systems owns financial data migration for Oracle Fusion implementation while pioneering the use of AI, large language models (LLMs), and intelligent agents to transform finance operations. This role combines traditional data conversion excellence with cutting-edge AI capabilities, building intelligent workflows for data quality, process automation, anomaly detection, and predictive analytics. This position reports directly to the Director, Finance Systems and serves as the technical lead for data and emerging AI initiatives. Position Responsibilities
Basic Qualifications (Required Skills & Experience)
AV isn’t for everyone. We hire the curious,…
Job requirements
- Bachelor's degree in Finance, Accounting, Computer Science, Data Science, or related field (Master's in Data Science, AI, or related field preferred)
- 5+ years of experience in financial data management, ERP data migration, or business intelligence/analytics
- 2+ years hands-on experience building AI/LLM applications, intelligent agents, or machine learning models (personal projects, hackathons, or professional work)
- Proven experience leading at least 2 full-cycle ERP data conversions from planning through post-go-live stabilization
- Expert-level proficiency with Python (pandas, numpy, scikit-learn) for data transformation, analysis, and machine learning
- Hands-on experience with LLM APIs (OpenAI GPT, Anthropic Claude, Google Gemini), prompt engineering techniques, and AI agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) including retrieval-augmented generation…
- Strong SQL skills for data extraction, transformation, and validation across relational databases
- Experience with data integration tools (Oracle FBDI, APIs, SSIS, Informatica, Alteryx), cloud data platforms (Oracle Cloud, AWS, Azure), and software development best practices including version control (Git) and CI/CD…
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