Packaging, disposables and janitorial supply distribution across North America
Bunzl Distribution NA runs a warehouse-heavy distribution business on a layered ERP estate: SAP, JD Edwards, Sage X3 and AS/400/IBM i alongside Blue Yonder and SAP APO for planning, plus Xata and Omnitracs for fleet. Accelerating hiring skews toward logistics, sales and operations at junior and mid levels, while recurring pain points center on margin protection and inventory turns, pointing to a cost-discipline push alongside account expansion.
Notable leadership hires: Warehouse Lead, Customer Service Lead, Director of Accounting
Bunzl Distribution NA supplies food packaging, disposable supplies, and cleaning and safety products to food processors, grocery chains, convenience stores, non-food retailers and other commercial buyers. Headquartered in St. Louis, Missouri, it is the North American distribution arm of the publicly listed Bunzl group. The company operates a large warehouse network serving the United States, Puerto Rico, Canada, the Caribbean and parts of Mexico, with a catalog spanning hundreds of thousands of items. It employs in the 5,001–10,000 range and hires across the United States and Canada.
Bunzl Distribution runs SAP ERP, JD Edwards, Sage X3, Dynamics 365 and AS/400/IBM i, with Blue Yonder and SAP APO for planning, Omnitracs and Xata for fleet, SPS Commerce for EDI, and Snowflake plus Power BI for analytics.
Yes, hiring is accelerating, concentrated in logistics, sales and operations roles, mostly at junior and mid levels, with openings in the United States and Canada including warehouse and customer service leads.
Bunzl Distribution NA is headquartered in St. Louis, Missouri, and serves customers across the US, Puerto Rico, Canada, the Caribbean and parts of Mexico.
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Bunzl Distribution NA's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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