# Analyst, Finance Analytics & AI
**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Salary:** $114K-$143K
**Experience:** 1+ years
**Skills:** Python, SQL, Prompt Engineering, Snowflake Cortex, Streamlit, Coco, Snowwork, dbt, Yaml, Git, Openpyxl
**Posted:** 2026-04-20
> Builds AI agents, workflows, and Streamlit apps to automate finance analytics processes like revenue analysis and earnings prep. Requires 1-3 years experience, daily AI-assisted development with tools like CoCo, Python, and SQL proficiency.
## Job Description
## What you'll work on

### 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

**Must-have**
- AI-assisted development — You have used an LLM coding assistant (CoCo, Cursor, GitHub Copilot, Claude, or equivalent) as your primary development tool
- Prompt engineering and skill authoring — You can write a structured prompt (YAML + Markdown or equivalent)
- **Python** — Modern, type-hinted, readable. You write Python-based applications, data pipelines, and reporting automation
- **SQL** — CTEs, window functions, incremental pipeline patterns
- Data modeling fundamentals — You understand semantic layers

**Strong plus**
- Snowflake Cortex — Cortex Analyst, Cortex Agents, AI\_SUMMARIZE, AI\_EXTRACT, Dynamic Tables, semantic views
- SnowWork / CoCo — Prior experience deploying agents, authoring skill files
- Finance literacy — You can read a revenue waterfall, distinguish ARR from NRR
- Reporting automation — openpyxl, multi-tab Excel exports
- dbt — Model authoring, ref() patterns, YAML tests
- Semantic search / embeddings — Vector similarity, embedding-based retrieval

## Minimum requirements
- 1–3 years of experience in analytics, data engineering, or a technical finance adjacent role
- Has used an AI coding assistant as a primary development tool — daily usage
- Proficient in SQL
- Has shipped at least one Python application that end-users actually interacted with
- Comfortable working in Git (PRs, branches, code review)
- Familiar with fiscal year concepts and core revenue metrics (ARR, bookings, NRR)
**Apply:** https://hotfix.jobs/jobs/analyst-finance-analytics-ai-at-snowflake-f7bd5040-fd90-446f-9728-d617098d5df7
**Canonical:** https://hotfix.jobs/jobs/analyst-finance-analytics-ai-at-snowflake-f7bd5040-fd90-446f-9728-d617098d5df7