
10,000+ employees
Founded 1927
🤝 B2B
🛍️ eCommerce
🛒 Retail
B2B • eCommerce • Retail
Grainger is a leading broad line distributor that operates primarily in North America, Japan, and the United Kingdom. With a mission to "Keep the World Working", Grainger serves over 4. 5 million customers by offering around 2 million maintenance, repair, and operating (MRO) products and services, as well as access to millions of additional products through its online platforms. The company is recognized for its commitment to excellent service and innovative technology that enhances customer relationships and operational efficiency.
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10,000+ employees
Founded 1927
🤝 B2B
🛍️ eCommerce
🛒 Retail
B2B • eCommerce • Retail
Grainger is a leading broad line distributor that operates primarily in North America, Japan, and the United Kingdom. With a mission to "Keep the World Working", Grainger serves over 4. 5 million customers by offering around 2 million maintenance, repair, and operating (MRO) products and services, as well as access to millions of additional products through its online platforms. The company is recognized for its commitment to excellent service and innovative technology that enhances customer relationships and operational efficiency.
• Analyze data to provide actionable insights for business decisions. • Collaborate with cross-functional teams to implement data-driven strategies. • Develop and maintain analytical models and tools. • Present findings to leadership teams.
• Bachelor’s degree in Statistics, Mathematics, Operations Research, Industrial Engineering, Business Analytics, or related field plus 3 years of related experience. • Experience with analytics tools (e.g. R, Python, SQL) and data visualization software (e.g. Tableau, PowerBI); • Experience articulating ambiguous business questions and using quantitative modeling techniques to arrive at a solution; • Experience processing, filtering, validating, and presenting large quantities of data (Millions to Billions of rows); • Design, implement & generate sensitivity reports using linear programming and optimization models with Python & MS Excel; • Present technical demos and interpret complex analytical outputs into actionable, decision-ready insights for leadership teams; • Proficient in architecting complex business processes with Python-based pipelines for large-scale data processing and validation. • Up to 10% domestic travel to visit clients and team meetings.
• To learn about Grainger’s benefits, please visit: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
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