
51 - 200 employees
Founded 1999
📦 Logistics
☁️ SaaS
🤝 B2B
Logistics • SaaS • B2B
Green Mountain is a parcel spend management and logistics optimization company. It combines specialized software (audit and re-rate systems, Intelligent Visibility powered by Oreamnos AI) with advisory services, carrier and data management, and process automation to help large, complex shippers reduce parcel costs, improve accuracy, and optimize their parcel networks. The firm emphasizes ongoing strategic partnership and industry expertise, and cites client outcomes including $541M in client savings, 1. 6B shipments processed, and a 1577% average client ROI. Green Mountain positions itself as a B2B partner for retailers and enterprises seeking to turn shipping into a competitive advantage.
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51 - 200 employees
Founded 1999
📦 Logistics
☁️ SaaS
🤝 B2B
Logistics • SaaS • B2B
Green Mountain is a parcel spend management and logistics optimization company. It combines specialized software (audit and re-rate systems, Intelligent Visibility powered by Oreamnos AI) with advisory services, carrier and data management, and process automation to help large, complex shippers reduce parcel costs, improve accuracy, and optimize their parcel networks. The firm emphasizes ongoing strategic partnership and industry expertise, and cites client outcomes including $541M in client savings, 1. 6B shipments processed, and a 1577% average client ROI. Green Mountain positions itself as a B2B partner for retailers and enterprises seeking to turn shipping into a competitive advantage.
• Build, clone, and modify customer reports to Green Mountain Technology standards • Create on-demand reporting for client requests • Pull and shape data from the data warehouse for ad hoc analysis • Run re-rate analyses covering service changes, DIM changes, surcharges, CWT, re-zoning, and GRI validation • Support carrier RFP analysis and modeling for national and regional carriers • Produce monthly savings and performance reports • Explain customer-facing reports • Interpret and write business requirements for GL coding, cost allocation, and data labeling • Learn carrier file types, invoice translation, audit flags, and carrier contracts • Quality-check deliverables and partner with other engineers to check theirs • Document client conversations and maintain Jira and Confluence action items • Flag timeline or expectation risks to the manager • Improve processes, error-proofing, and system requests
• 1–2 years of experience in an analytics role • Advanced Microsoft Excel skills, including formulas, data cleansing, and data manipulation • Bachelor’s degree in Industrial Engineering, Supply Chain, Data Analytics, Math, MIS, or a similar discipline • Strong analytical problem-solving ability • Sharp critical thinking and a habit of chasing problems to their root cause • Self-motivation and outcome orientation • Ability to work with very limited supervision • Fluency in spoken and written English • Entry-level understanding of SQL queries and relational databases • Knowledge of transportation and supply chain systems and concepts • Exposure to business intelligence tools such as Tableau or data warehousing concepts • Comfort presenting work and explaining it to people who did not build it • Must be eligible to work in the United States, as indicated by the US-state-specific remote eligibility and E-Verify participation
• Medical coverage with two options • Dental and vision benefits • HSA-qualified high-deductible health plan with generous company contribution • Optional health care and dependent care flexible spending accounts • Company-paid basic life insurance • Short- and long-term disability coverage available from day one • Voluntary supplemental plans • Fully remote work options in many US states • Paid holidays • PTO • Summer Hours with no waiting period • 401(k) plan with an automatic company contribution
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