Finance AI Analyst
Intuitive•Durham, NC
•$93,200 - $148,400•Onsite
About The Position
The Finance AI Analyst designs and deploys AI/ML-driven analytics solutions within the Finance franchise of Enterprise Analytics. The role combines data engineering skills and applied AI/ML experience to translate business requirements into intelligent, automated insights. The position works with finance data and analytics systems to deliver production-grade solutions, using technologies such as Snowflake and Python.
Requirements
- At least 2 years of experience in data engineering, analytics engineering, or applied AI/ML roles.
- Strong SQL proficiency.
- Hands-on Snowflake experience; Snowpark, Cortex AI, and ML functions are preferred.
- Experience building and deploying ML models using Python or similar.
- 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.
- 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 Tableau.
- 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 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.
Benefits
- Market-competitive compensation packages, including base pay, incentives, benefits, and equity.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
