Snowflake
Technology
SeniorAnalyst/StaffAnalyst,FinanceAnalytics&AI
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analyst/ Staff Analyst, Finance Analytics & AI at Snowflake. Skills: AI agent development, Prompt engineering, Python, SQL. Design and build skills and agentic experiences. Encode repeatable finance workflows into reusable tools”
What You'll Achieve.
Build at least two net-new AI agents; Take ownership of revenue analysis workflows; Ship at least one Streamlit app; Participate in at least one quarterly earnings cycle
Industry & Context.
Problem solving; Analytical skills
What They're Looking For.
Must Have
4+ years of experience in analytics, data engineering, or technical finance adjacent role, Used an AI coding assistant as primary development tool, Proficient in SQL, Shipped at least one Python application, Comfortable working in Git, Familiar with fiscal year concepts and core revenue metrics
Nice to Have
Snowflake Cortex experience, SnowWork / CoCo experience, Finance literacy, Reporting automation experience, dbt experience, Semantic search / embeddings experience
What You'll Do.
Design and build skills and agentic experiences
Encode repeatable finance workflows into reusable tools
Write and iterate on prompt & skill structures
Build skills for non-technical finance analysts
Evaluate model outputs rigorously
Build and maintain quarterly and weekly revenue summary
Support sensitivity analysis models
Produce ad-hoc analysis
Build and improve semantic data models
Expose finance tables to natural language queries
Develop and deploy production finance dashboards
Build customer-facing demo applications
Apply reusable component patterns
Participate in quarterly earnings cycle prep
Build and maintain source-of-truth reporting exports
Support ad-hoc disclosure and investor relations data needs
How You'll Work.
Team & Collaboration
Stakeholder communication; Senior finance leader summaries
Communication Scope
Communicate complex ideas simply; Stakeholder summaries
Full Job Description
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. 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 prompt, you validate the output. If you are still building dashboards by hand, refreshing Excel files manually, or treating AI as a spell-checker for your code — this role will ask you to operate differently. This is a high-breadth seat. One week you're building a new AI agent for quarterly revenue analysis; the next you're designing 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 experie
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