Staff Analytics Engineer, Rula

• If you're excited about building a clean, well-documented analytics layer in a fast-moving, mission-driven environment—we’d love to work with you
• Bachelor’s degree in Computer Science or Data Science
• 5+ years of experience in analytics engineering, data engineering, or business intelligence roles, with a proven track record of delivering high-quality data models and reporting assets
• Advanced proficiency with dbt (Cloud or Core) and experience designing modular, well-documented transformation layers in a modern data stack
• Strong SQL skills, with a deep understanding of data modeling best practices—particularly in a Kimball-style dimensional warehouse
• Experience working with cloud data warehouses, especially Amazon Redshift, including performance tuning and query optimization
• Hands-on experience with BI tools, preferably Looker, including explore and dashboard development and LookML configuration
• A product mindset—you're focused on enabling others through clean, reusable data assets rather than one-off analyses

Desirable

• At Rula, Staff Analytics Engineers are the architects behind our most critical data products—powering insights for everything from patient engagement to clinical operations
• You’ll work hands-on in dbt, Redshift, and Looker to design trusted, scalable data models that drive decision-making across the company
• This is a highly cross-functional role where you’ll partner with data scientists, product managers, and operational leaders to turn complex questions into elegant data solutions