Finance AI Analyst

📋 Description

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

🎯 Requirements

• 2+ years in data engineering, analytics engineering, or applied AI/ML.
• Strong SQL; hands-on Snowflake (Snowpark, Cortex AI preferred).
• Experience building/deploying ML models (Python or similar).
• Ability to debug end-to-end data flows in a Data Warehouse environment.
• Familiarity with finance data domains (GL, AP, AR) or SAP Finance.
• Experience with BI tools (Tableau preferred).

🎁 Benefits

• Market-competitive compensation packages inclusive of base pay, incentives, benefits, and equity.
• Equal Opportunity Employer with no discrimination.
• Reasonable accommodations for qualified individuals with disabilities.