Finance AI Analyst

📋 Description

• Design, build, and maintain AI/ML models and pipelines that support finance analytics use cases
• Develop and optimize data models in Snowflake, leveraging Cortex or equivalent tool AI functions
• Debug and troubleshoot complex data models across the Enterprise Data Warehouse (EDW) stack — trace
• Partner with Finance stakeholders to identify high-impact AI opportunities and translate them into
• Evaluate and integrate emerging AI tools (LLMs, generative AI, vector search) into the analytics
• Establish best practices for model monitoring, versioning, and governance

🎯 Requirements

• 2+ years of experience in data engineering, analytics engineering, or applied AI/ML roles
• Strong SQL proficiency; hands-on experience with Snowflake (Snowpark, Cortex AI, ML functions
• Experience building and deploying ML models (Python, or similar)
• Ability to debug end-to-end data flows in a Data Warehouse environment — identify breakpoints in
• Familiarity with finance data domains (GL, AP, AR, fixed assets, cost accounting) or SAP Finance
• Experience with BI tools (Tableau preferred)

🎁 Benefits

• Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity