Finance AI Analyst - Onsite, AI-powered Finance Insights

Intuitive Surgical, Inc.; Sunnyvale (CA); Sur place; USD 110 000 - 148 000; Plein temps

Résumé du poste

Intuitive Surgical, Inc. is seeking a Finance AI Analytics professional to design and deploy AI/ML driven analytics within Enterprise Analytics' Finance domain. The role combines data engineering with hands-on AI/ML experience to translate business needs into automated insights.

You will design models and data pipelines in Snowflake, collaborate with Finance stakeholders, and explore emerging AI tools to drive forecasting, anomaly detection, and financial analysis across the organization.

Qualifications

• 2+ years in data engineering, analytics engineering, or applied AI/ML roles.
• Strong SQL and Snowflake experience.
• Experience building ML models in Python.
• Ability to debug end-to-end data flows in a Data Warehouse environment.
• Familiarity with finance data domains (GL, AP, AR, fixed assets, cost accounting) or SAP Finance.
• Experience with BI tools (Tableau).
• Strong communication skills; ability to present AI concepts to non-technical finance stakeholders.

Responsabilités

• 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 EDW stack.
• 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.

Connaissances

SQL

Snowflake

Python

Data engineering

Finance domain

Tableau

AI/ML concepts

Formation

Bachelor's degree

Outils

Snowpark

Cortex AI

ML functions

Description du poste

Intuitive Surgical, Inc. is seeking a Finance AI Analytics professional to design and deploy AI/ML driven analytics within Enterprise Analytics' Finance domain. The role combines data engineering with hands-on AI/ML experience to translate business needs into automated insights.

You will design models and data pipelines in Snowflake, collaborate with Finance stakeholders, and explore emerging AI tools to drive forecasting, anomaly detection, and financial analysis across the organization.