Job Description
The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function. This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.

In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset.

Responsibilities

- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.
- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.
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