Restaurant365 is a SaaS company disrupting the restaurant industry Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365 is seeking an AI Data FP&A; Analyst to join our Enterprise Data & Analytics team as a builder and definitional owner embedded at the intersection of finance and applied AI. This role exists to drive AI application development — grounded in a deep understanding of SaaS FP&A; metrics — and to drive business process and metric-definition consistency across the FP&A; organization, turning board-level and internal KPIs into working, governed intelligence.
You read and reason about SQL well enough to validate logic and partner tightly with engineers — who own the pipeline build itself.
You will work in a dedicated pod alongside a Senior Data Engineer, driving business metrics together — you own the metric definitions, the business process, and the AI applications, while the engineer owns the pipeline and semantic-layer implementation.
The center of this role is ownership of the FP&A; metric definitions, the business process behind them, and the AI applications that surface them to finance and executive stakeholders.
Partner with FP&A; to drive and standardize financial business process — mapping how financial data moves and how KPIs are produced across planning, close, and reporting cycles so the partnership yields repeatable data and insights rather than one-off analysis.
AI Application Development (Claude)
Build and ship Claude-powered applications that operationalize SaaS FP&A; metrics and KPIs — turning manual, spreadsheet-bound financial analysis into governed, self-service, on-demand intelligence.
Own the full build loop — prompt engineering, structured outputs, tool use, and iterative refinement — to produce reliable applications for finance use cases such as variance narration, forecast Q&A;, KPI lookups, and board-metric explanations.
Build against the R365 platform st