Data-Driven Freight Network Engineer

GreenGas USA; Lugoff (SC); On-site; USD 90,000 - 120,000; Full time

Job summary

GreenGas USA is seeking a data-driven Trucking Logistics Engineer to design and optimize regional and national freight networks. You will evaluate lane profitability, identify cost-saving opportunities, and use TMS tooling to build predictive routing models for better asset utilization and on-time performance.

Work with fleet operations, safety, and dispatch to develop dashboards in Tableau or Power BI and apply Lean Six Sigma to reduce waste.

Qualifications

• Bachelor’s degree in a highly quantitative field or related discipline.
• 3+ years of transportation engineering, fleet logistics, or freight network analytics.
• Hazmat certification and/or experience.

Responsibilities

• Network Optimization: Design and implement models to evaluate lane profitability and multi-stop routes.
• Freight Data Analytics: Extract, clean, and interpret large freight datasets using SQL, Python, or Excel to identify bottlenecks and fuel inefficiencies.
• Dashboard Development: Build and maintain dashboards in Tableau or Power BI to visualize cost-per-mile, empty miles, and driver utilization.
• Capacity Planning: Forecast seasonal freight volumes and align assets with regional demand fluctuations.
• Technology Integration: Administer the corporate Transportation Management System (TMS) and telematics hardware.
• Process Improvement: Apply Lean Six Sigma to reduce waste in terminal operations and cross-docking workflows.
• Vendor & Carrier Management: Collaborate with 3PLs and owner-operators to negotiate rates and scale capacity.

Skills

Lane profitability analysis

Data analytics

SQL querying

Python/R

Excel advanced

Education

Bachelor’s degree in Industrial Engineering, Supply Chain Management, Logistics, Operations Research, or quantitative field

Tools

SAP TM

Oracle OTM

Blue Yonder

Job description

GreenGas USA is seeking a data-driven Trucking Logistics Engineer to design and optimize regional and national freight networks. You will evaluate lane profitability, identify cost-saving opportunities, and use TMS tooling to build predictive routing models for better asset utilization and on-time performance.

Work with fleet operations, safety, and dispatch to develop dashboards in Tableau or Power BI and apply Lean Six Sigma to reduce waste.