AI Analytics Engineer (Business Analytics)

Design trusted data models for core financial metrics (ACV, ARR, revenue). Develop and govern dbt data pipelines with data integrity SLAs. Build dashboards delivering real-time, self-serve insights. Enable data independence with Looker/Omni self-service datasets. Collaborate on the AI Business Context layer for financial use cases. Create natural-language access to financial data and AI reporting. Technically curious and AI-forward; energized by LLMs and AI tooling. Builder at heart; prototype pipelines or scripts and quick to learn new tech. SQL-proficient; experience with dbt, Databricks, Snowflake. Detail-oriented with financial rigor; precision in data. Clear communicator and strong writer; translate complex logic for humans and LLMs. Business-minded; curious about revenue, metrics, and decisions. Life at Airtable: inclusive culture and growth. Total compensation may include RSUs and incentive compensation. Comprehensive benefits and life at Airtable resources. Accommodations and privacy resources for applicants.