Finance AI Analyst

Intuitive • Sunnyvale, NC

5d

About The Position

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

The position involves building and maintaining analytics models and pipelines, developing Snowflake data models, troubleshooting data flows across the Enterprise Data Warehouse, and collaborating with Finance stakeholders to deliver production-grade solutions. It also includes evaluating emerging AI tools and establishing practices for model monitoring, versioning, and governance.

Requirements

• At least 2 years of experience in data engineering, analytics engineering, or applied AI/ML roles.
• Strong SQL proficiency.
• Experience with Snowflake; Snowpark, Cortex AI, and ML functions are preferred.
• Experience building and deploying ML models using Python or a similar language.
• Ability to debug end-to-end data flows in a data warehouse environment and identify breakpoints in staging, transformation, and presentation layers.
• Familiarity with finance data domains such as GL, AP, AR, fixed assets, or cost accounting, or with SAP Finance.
• Experience with BI tools; Tableau is preferred.
• Strong communication skills and the ability to present AI concepts to non-technical Finance stakeholders.
• Bachelor’s degree in finance, computer science, mathematics, information systems, or business.

Nice To Haves

• Experience with LLM-based applications, RAG architectures, or Snowflake Cortex Agents.
• Knowledge of finance portfolio management, FP&A, or treasury analytics.
• Familiarity with SDLC and CI/CD for data/ML pipelines.

Responsibilities

• Design, build, and maintain AI/ML models and pipelines for finance analytics use cases, including forecasting, anomaly detection, classification, and NLP on financial documents.
• Develop and optimize data models in Snowflake, leveraging Cortex or equivalent AI functions.
• Debug and troubleshoot complex data models across the Enterprise Data Warehouse stack by tracing data lineage, validating transformations, and resolving model-layer discrepancies.
• Partner with Finance stakeholders to identify high-impact AI opportunities and translate them into production-grade solutions.
• Evaluate and integrate emerging AI tools, including LLMs, generative AI, and vector search, into the analytics ecosystem.
• Establish best practices for model monitoring, versioning, and governance.

What This Job Offers

• Job Type: Full-time