snowflake
Analyst, Finance Analytics & AI - Deal Desk
At a Glance
- Location
- US-CA-Menlo Park, United States
- Employment
- FULL_TIME
- Experience
- 4+ years
- Compensation
- {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'minValue': 114000, 'maxValue': 150100, 'unitText': 'YEAR'}}
- Department
- Snowflake
- Posted
- 2026-07-27
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Finance
Requirements
2-4+ years of experience in analytics, data engineering, or a technical finance adjacent role
Has used an AI coding assistant as a
development tool — daily usage, not occasional
Proficient in SQL — you can write a window function without looking it up
Has shipped multiple Python applications that end-users actually interacted with; at least one is actively maintained in production
Responsibilities
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.
(Cortex Code), Snowflake's AI coding assistant, and
, 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.