Finance AI Analyst

Intuitive; Peachtree Corners (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Intuitive in Peachtree Corners, GA seeks a Finance AI Analyst who will design and deploy AI/ML analytics within Enterprise Analytics. You will work with finance data, build scalable models, and deliver automated insights that inform business decisions.

The role combines data engineering with AI/ML techniques, requiring hands-on experience with Snowflake, model governance, and enabling production-grade solutions for finance stakeholders.

Qualifications

• Experience designing AI/ML analytics for finance.
• Hands-on with data pipelines and EDW.
• Ability translate business requirements into automated insights.

Responsibilities

• Design, build, and maintain AI/ML models and pipelines for finance analytics use cases.
• Develop and optimize data models in Snowflake, leveraging Cortex or equivalent AI functions.
• Debug and troubleshoot data models across the EDW stack; trace data lineage and validate transformations.
• Partner with Finance stakeholders to identify high-impact AI opportunities and translate into production-grade solutions.
• Evaluate and integrate emerging AI tools (LLMs, generative AI, vector search) into analytics ecosystem.
• Establish best practices for model monitoring, versioning, and governance.

Skills

AI/ML analytics

Data engineering

Translate business requirements

Tools

Snowflake

Cortex

Job description

Job Description

Primary Function of Position

The Finance AI Analyt will design and deploy AI/ML-driven analytics solutions within the Finance franchise of Enterprise Analytics. This role combines deep data engineering skills with hands‑on experience in AI/ML techniques applied to financial data, translating business requirements into intelligent, automated insights.

Roles and Responsibilities

• Design, build, and maintain AI/ML models and pipelines that support finance analytics use cases (forecasting, anomaly detection, classification, NLP on financial documents).
• 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 data lineage, validate transformations, and resolve discrepancies at the model layer.
• Partner with Finance stakeholders to identify high-impact AI opportunities and translate them into production‑grade solutions.
• Evaluate and integrate emerging AI tools (LLMs, generative AI, vector search) into the analytics ecosystem.
• Establish best practices for model monitoring, versioning, and governance.