Analyst, Finance Analytics & AI – Deal Desk

Snowflake

Analyst developing AI-first finance analytics tools at Snowflake, building workflows and automating reporting solutions. Collaborating with finance teams to create innovative finance processes.

Posted 7/27/2026full-timeMenlo Park • California • 🇺🇸 United StatesJuniorMid-Level💰 $114,000 - $150,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-assisted development, particularly with LLM coding assistants, and possesses strong proficiency in SQL and Python for building data pipelines and automating reporting processes. Familiarity with data modeling fundamentals and version control using Git is essential.

Highest-signal resume keywords

AI-Assisted DevelopmentSQL ProficiencyPython Application DevelopmentData Modeling FundamentalsGit Version Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData EngineeringAnalyticsData PipelinesReporting AutomationSensitivity AnalysisRevenue ForecastingData ModelingAI Development

Tools & Technologies

LLM Coding AssistantGit

Industry Keywords

Finance WorkflowsRevenue Summary PipelinesBusiness ReviewsNegotiation Reporting

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and build AI agents and experiences that encode repeatable finance workflows
Write and iterate on prompt & skill structures based on output quality and stakeholder feedback
Build and maintain quarterly and weekly revenue summary pipelines
Support sensitivity analysis models for quarterly business reviews & revenue forecast scenarios
Automate reporting packs used by deal desk managers in negotiations

Requirements

What you’ll need

2-4+ years of experience in analytics, data engineering, or a technical finance adjacent role
Must-have AI-assisted development - experience using an LLM coding assistant as your primary development tool
Proficient in SQL - able to write window functions without looking up syntax
Strong skills in Python - write Python-based applications, data pipelines, and reporting automation
Knowledge of data modeling fundamentals - understand bronze, silver, and gold data models conceptually
Comfortable working in Git – PRs, branches, code review

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development opportunities