Senior Analytics Engineer, Finance

📋 Description Design and build scalable data models and pipelines using dbt for financial analytics. Define and implement a semantic layer (LookML/Omni) for revenue, retention, ARR, and NRR. Partner with Product, Finance, and Executives to deliver dashboards and tools for business health metrics (ARR, NRR). Establish data modeling standards for accuracy, performance, usability, and maintainability. Lead data governance for data quality, documentation, and access control. Structure financial metric definitions and accounting context to support AI reporting and anomaly detection. 🎯 Requirements 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar. Deep expertise in SQL, dbt, Python, Snowflake. Experience with modern BI tools like Looker/Omni or similar. Skilled at defining core financial/operating metrics and resolving data issues. Strong familiarity with GitHub, CI/CD, and modern development workflows. Strong communicator who can partner with Finance, GTM, Product, and Exec. 🎁 Benefits Early employee at a hyper-growth startup. Experience with or knowledge of AI and LLMs. Data Engineering experience. Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir).