AI and Solutions Development Analyst

Role Summary The AI and Solutions Development Analyst supports the company's growth by combining customer-facing supply chain consulting with internal analytics and AI-driven capabilities. The Analyst partners closely with Sales, Customer Success, Operations, and IT to design solutions, support business development efforts, and drive continuous improvement across platforms. This is a dual-impact role: externally, it positions the company as a consultative logistics partner;

internally, it accelerates AI and analytics transformation.

• Customer Solution Development & Consulting
  • Conduct on-site and virtual supply chain assessments for prospective and existing customers, including facility visits, stakeholder interviews, and freight flow analysts
  • Evaluate customer supply chain networks and recommend improvements to optimize cost, service levels, and operational efficiency
  • Design tailored logistics solutions leveraging the company’s full-service portfolio: truckload, LTL, warehousing, parcel, international, and managed logistics
  • Build financial models, cost-benefit analyses, and ROI frameworks to support customer business cases
  • Develop customer-facing proposals, executive presentations, and solution documentation that communicate recommendations clearly
  • Support enterprise sales opportunities by providing solution design expertise and operational feasibility analysis
• Sales Enablement & Account Support
  • Partner with Sales and Business Development teams on RFPs, pricing strategies, and complex customer opportunities
  • Provide consultative supply chain expertise during customer discovery calls, business reviews, and solution presentation
  • Lead or support RFP/bid responses, including coordination of solution design, pricing, and supporting documentation
  • Identify opportunities to expand services within existing customer accounts
  • Develop case studies and best practice documentation to support the broader sales team
• Analytics, Dashboards, and Reporting
  • Build and maintain Power BI dashboards that provide customers and internal teams with real time visibility into supply chain performance and KPIs
  • Analyze freight, routing, service levels, and cost data to surface actionable optimization opportunities for customers and operations
  • Develop predictive models to improve demand planning, capacity forecasting, and cost management
  • Track and report on post-implementation results to demonstrate measurable value delivered to customers
• AI Tools & Internal Automation
  • Identify manual workflows – both customer-facing and internal – that can be automated and build or prototype solutions
  • Design and deploy AI-powered tools and intelligent agents that support sales, operations, and customer analytics teams
  • Integrate AI capabilities with existing platforms including Hub Spot, Revenova TMS, Extensive WMS, and Power BI
  • Collaborate with the internal AI Innovation Analyst and the IT team to scale solutions that work across the organization
• Systems, Data Pipelines, and Continuous Improvement
  • Build data pipelines that connect internal systems and eliminate manual data-wrangling processes
  • Enhance integration between Salesforce/Hub Spot, TMS, WMS, and BI platforms to improve data quality and accessibility
  • Stay current on supply chain technology trends, AI developments, and logistics innovations to inform clients on service offerings
  • Identify opportunities to improve internal systems and processes and lead these improvement initiatives

• Bachelor’s degree in Supply Chain, Logistics, Business Analytics, Data Science or a related field is required
• Minimum of 2 years of experience in supply chain consulting, logistics analytics, or 3PL operations
• Demonstrated ability to conduct customer-facing assessments and deliver formal recommendations
• Working knowledge of SQL and Python for data analysis
• Experience building dashboards or reports in Power BI, Tableau, or similar tools
• Familiarity with AI development, automation tools, or machine learning applications
• Strong communication and presentation skills; comfortable presenting to senior-level stakeholders
• Prior background in freight brokerage, 3PL, or managed logistics environments preferred
• Track record of quantifying and presenting cost savings or efficiency improvements to customers
• Willing to travel to customer sites as needed, estimated 10-20% travel
• Comfortable being exposed to warehousing and trucking environments on a regular basis

We are an EEOC Employer.