Senior Logistics Engineer - Maintenance Analytics

J.B. Hunt; Lowell (AR); On-site; USD 90,000 - 140,000; Full time

Job summary

J.B. Hunt is seeking a Senior Logistics Engineer in Maintenance Engineering to apply quantitative methods for productivity, asset reliability and cost performance. You will analyze large datasets, develop models, and collaborate with internal teams to translate requirements into optimal solutions.

The role emphasizes automation, AI-enabled analytics, and data-backed decision making to improve labor productivity and asset performance across the network.

Qualifications

• Bachelor's degree in Industrial Engineering, MIS, Mathematics or Statistics with 5 years of Industrial Engineering experience.
• Experience in data visualization, statistics, operations research, linear programming, forecasting, predictive modeling, relational databases, SQL, and cloud analytics platforms.
• Experience in maintenance, reliability, or asset-intensive operations; AI-assisted analytics exposure preferred.

Responsibilities

• Analyze large historical datasets to support maintenance labor assumptions and performance metrics.
• Incorporate automation and AI-enabled analytics to improve efficiency of maintenance analysis.
• Build cost-benefit and scenario models for facility planning, capacity analysis, and network optimization.
• Lead cross-functional collaborations to implement analytical changes in reporting tools and systems.

Skills

Data visualization

Statistics

Operations research

Linear programming

Forecasting

Predictive modeling

Relational databases

SQL

Cloud analytics

Education

Industrial Engineering

Management Information Systems

Mathematics

Statistics

Tools

SQL

Cloud analytics platforms

Data visualization software

Job description

J.B. Hunt is seeking a Senior Logistics Engineer in Maintenance Engineering to apply quantitative methods for productivity, asset reliability and cost performance. You will analyze large datasets, develop models, and collaborate with internal teams to translate requirements into optimal solutions.

The role emphasizes automation, AI-enabled analytics, and data-backed decision making to improve labor productivity and asset performance across the network.