Finance AI Analyst: AI/ML Analytics for Financial Forecasting

Intuitive; North Carolina; Sur place; USD 93 000 - 110 000; Plein temps

Résumé du poste

Intuitive in North Carolina is seeking a Finance AI Analyst to design and deploy AI/ML analytics within the Finance analytics domain. You’ll turn business requirements into production‑ready insights, combining data engineering with AI techniques to improve forecasting and financial reporting.

Collaborate with Finance stakeholders, build Snowflake data models, leverage Cortex AI, and ensure model governance and monitoring.

Qualifications

• 2+ years in data engineering, analytics engineering, or applied AI/ML roles.
• Strong SQL and Snowflake (Snowpark, Cortex AI, ML functions) experience.
• Experience building and 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).
• Strong communication skills to present AI concepts to finance stakeholders.

Responsabilités

• Design, build, and maintain AI/ML models and pipelines for finance analytics (forecasting, anomaly detection, NLP on financial documents).
• Develop and optimize data models in Snowflake, leveraging Cortex AI functions.
• Debug and troubleshoot complex data models across the EDW stack; validate transformations.
• Partner with Finance stakeholders to identify high‑impact AI opportunities and productionize solutions.
• Evaluate and integrate emerging AI tools (LLMs, vector search) into the analytics ecosystem.
• Establish best practices for model monitoring, versioning, and governance.

Connaissances

SQL proficiency

Snowflake

Python

Data debugging

Finance domain knowledge

Tableau

Communication skills

Formation

Bachelor's degree (finance, CS, math, IS, or business)

Outils

Snowpark

Cortex AI

ML functions

Tableau

Description du poste

Intuitive in North Carolina is seeking a Finance AI Analyst to design and deploy AI/ML analytics within the Finance analytics domain. You’ll turn business requirements into production‑ready insights, combining data engineering with AI techniques to improve forecasting and financial reporting.

Collaborate with Finance stakeholders, build Snowflake data models, leverage Cortex AI, and ensure model governance and monitoring.