Analyst/Sr Analyst, Finance Analytics & AI

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 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.

Responsibilities

• 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 SnowWork
• 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 single prompt
• Evaluate model outputs rigorously - you are the quality gate before anything reaches a finance stakeholder
• Finance analytics
• Build and maintain quarterly and weekly revenue summary pipelines
• Support sensitivity analysis models for quarterly business reviews & revenue forecast scenarios
• Produce ad-hoc analysis for Strategic Finance
• Semantic Layer & Application development
• Build and improve semantic data models that expose finance tables to natural language queries via Cortex Analyst
• 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 relations data needs during quarter-end
• Hard skills required

Requirements

• Python - Modern, type-hinted, readable. You write Python-based applications, data pipelines, and reporting automation. You understand caching, session state, and how to structure a multi-page app cleanly.
• SQL - CTEs, window functions, incremental pipeline patterns. You don't look up the syntax for a row-numbered deduplication.
• Data modeling fundamentals - You understand semantic layers, and how to build a model that a non-technical user can query in plain English.
• Strong plus
• Snowflake Cortex - Cortex Analyst, Cortex Agents, AI_SUMMARIZE, AI_EXTRACT, Dynamic Tables, semantic views
• SnowWork / CoCo - Prior experience

Additional Information

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.

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