Senior / Staff Analyst, Tax - Finance Analytics & AI

About this role

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.

Location Type: 3 Days in Menlo Park Office

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 Analytics team builds the intelligence layer that the Tax function under the CFO office runs on: AI agents that encode repeatable tax 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. You will partner closely with Tax leadership to transform their function using AI. 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 focused on unifying fragmented tax data, identifying high-risk areas, and automating compliance reporting to allow the Tax team to focus on decision-making and exception handling. One week you're building a new AI agent for tax risk identification; the next you're designing a compliance reporting tool. You are equally comfortable in an AI-IDE, a Python file, and a stakeholder summary for a senior tax leader.

WHAT YOU'LL WORK ON

AI AGENT AND WORKFLOW DEVELOPMENT (PRIMARY FOCUS)

- AI Agent & Workflow Transformation: Partner directly with Tax leadership to re-engineer core tax processes—including compliance, risk identification, and global reporting—into automated, 'AI-first' workflows. Design and deploy agentic tools using CoCo and CoWork that reduce manual data gathering, allowing the team to shift focus from data preparation to strategic decision-making and exception handling.

- Write and iterate on prompt & skill structures (YAML + Markdown skill files) based on output quality and stakeholder feedback

FINANCE ANALYTICS

- Tax Intelligence & Unification: Build a unified data and knowledge layer that serves as a single source of truth for all tax-relevant information. Transform fragmented data sources into clean, reconciled datasets, and create an 'AI tax brain' that encodes tax laws, internal playbooks, and regulatory updates to enable instant, accurate analysis across domestic and international tax workflows.

- Support risk assessment models and compliance reporting pipelines

SEMANTIC LAYER & APPLICATION DEVELOPMENT

- Own semantic layers end-to-end — model design, versioning strategy, verified query coverage, and accuracy iteration based on eval metrics; not just build models, but maintain the contract between the model and its consumers across each tax cycle

- Develop and deploy production tax 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

TAX REPORTING AND COMPLIANCE AUTOMATION

- Participate in tax filing cycles — automating tax filings, data reconciliation, and audit-ready reporting

- Build and maintain source-of-truth reporting exports (multi-tab Excel, formatted to spec)

- Support ad-hoc disclosure and tax audit data needs

HARD SKILLS REQUIRED

MUST-HAVE

AI-assisted development — You have used an LLM coding assistant (CoCo, Cursor, GitHub Copilot, Claude, or equivalent) as your primary development tool. You know how to write a prompt that produces production-ready output, how to steer a model that's heading in the wrong direction, and how to encode domain logic into a reusable, parameterized skill. You have a measurable, trackable record of daily AI usage.

Prompt engineering and skill authoring — You can write a structured prompt (YAML + Markdown or equivalent) that routes correctly 95% of the time, handles edge cases gracefully, and encodes enough domain knowledge that the model behaves like a subject matter expert. You think in terms of context, instructions, examples, and output format — not just "the thing I typed before the code came out."

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. At the senior level: you've contributed to a shared library or package that others depend on, and you've designed agent orchestration systems — including parallel agent patterns with synthesis layers.

SQL — CTEs, window functions, incremental pipeline patterns. You don't look up the syntax for a row-numbered deduplication.

Data modeling fundamentals — You understand bronze, silver, and gold data models conceptually and contribute to the gold layers and how they translate to semantic layer. You know not just how to build a model, but how to version it, evaluate SQL generation accuracy, maintain a verified query library, and iterate based on real tax analyst feedback. A non-technical user should be able to query your model in plain English and get a correct answer.

STRONG PL

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