Staff Analyst, Finance Analytics & AI

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the role We are an AI-first analytics team. We don't use AI to augment traditional BI workflows — we've replaced them. The Finance Analytics team builds the intelligence layer that Strategic Finance runs on: AI agents that encode repeatable finance processes, Streamlit apps that surface real-time insight, semantic models that let any analyst query complex data in plain English, and workflow automations that collapse hours of manual work into a single prompt. Our primary development environment is CoCo (Cortex Code), Snowflake's AI coding assistant, and SnowWork, the AI IDE we ship work in. Every deliverable on this team is built AI-first: you design the workflow, you write the [... source excerpt omitted ...] signing a sensitivity analysis tool for an earnings war room. You are equally comfortable in an AI-IDE, a Python file, and a stakeholder summary for a senior finance leader. What you'll work on AI agent and workflow development (primary focus) Design and build skills and agentic experiences that encode repeatable finance workflows — revenue analysis, cost monitoring, earnings prep, headcount tracking — into reusable, invokable tools using CoCo and CoWork Write and iterate on prompt & skill structures (YAML + Markdown skill files) based on output quality and stakeholder feedback Build skills that allows non-technical finance analysts to produce analyst-quality output in a s [... source excerpt omitted ...] accuracy iteration based on eval metrics; not just build models, but maintain the contract between the model and its consumers across each quarterly iteration Develop and deploy production finance dashboards as Streamlit apps (locally and deployed to Snowflake) Build customer-facing demo applications for Sales and Field teams Apply reusable component patterns and shared utility libraries for consistent, polished UI Earnings and reporting automation Participate in quarterly earnings cycle prep — scenario tooling, export automation, IR data requests Build and maintain source-of-truth reporting exports (multi-tab Excel, formatted to spec) Support ad-hoc disclosure and investor