About Us RB Global (NYSE: RBA) RB Global (NYSE: RBA) (TSX: RBA) is a leading, omnichannel marketplace that provides value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Through its auction sites in 13 countries and digital platform, RB Global serves customers in more than 170 countries across a variety of asset classes, including automotive, commercial transportation, construction, government surplus, lifting and material handling, energy, mining and agriculture. The company’s marketplace brands include Ritchie Bros., the world’s largest auctioneer of commercial assets and vehicles offering online bidding, and IAA, a leading global digital marketplace connecting vehicle buyers and sellers. RB Global’s portfolio of brands also includes Rouse Services, which provides a complete end-to-end asset management, data-driven intelligence and performance benchmarking system; SmartEquip, an innovative technology platform that supports customers’ management of the equipment lifecycle and integrates parts procurement with both OEMs and dealers; Xcira, a leader in live simulcast auction technologies; and Veritread, an online marketplace for heavy haul transport. RB Global full-time employees are offered medical, dental, vision, and basic life insurances. Employees are able to enroll in our company’s 401k plan and RB Global will match 100% for the first 4% contributed. Employees will also receive 15 days of PTO each year. Job Description About the Role The Analytics Engineer transforms raw data into trustworthy, analytics‑ready datasets and metrics that power dashboards, reporting, and data products across RB Global. You will build clean, scalable data models in Snowflake, develop LookML to support governed self‑service analytics, and ensure data is reliable, documented, and accessible. Key Responsibilities • Build and maintain SQL and dbt transformations • Develop LookML semantic models • Contribute to metric definitions and documentation • Participate in code reviews and data quality checks • Support analytics users Basic Qualifications • 2–4+ years in Analytics/BI/Data Engineering • Strong SQL, Snowflake, LookML, dbt • Experience with Airflow or similar Preferred Qualifications • Experience with self‑service analytics • Familiarity with observability and lineage tooling