AMR Fleet Optimization Analyst

Warehouse Fixers; South Brunswick (NJ); On-site; USD 90,000 - 130,000; Full time

Job summary

Locus Robotics seeks an AMR Fleet Software Analyst to optimize robot fleet performance at a major 3PL client site in central New Jersey. You will analyze fleet utilization, identify bottlenecks, and propose workflow adjustments to boost throughput.

Responsibilities include configuring robot behavior parameters, developing insights from data, and generating weekly performance reports for customer stakeholders to drive continuous improvements across operations.

Qualifications

• 2+ years of data analysis or operations engineering experience.
• Proficiency in Excel, SQL, and data visualization tools.
• Understanding of warehouse picking processes and productivity metrics.
• Comfort with fleet management dashboards and cloud-based tools.
• Strong analytical and communication skills.
• Bachelor's degree in industrial engineering, data science, or related field.

Responsibilities

• Analyze fleet utilization data to optimize robot performance.
• Identify bottlenecks and recommend workflow adjustments.
• Configure robot behavior parameters to improve throughput.
• Generate weekly performance reports for customer stakeholders.
• Collaborate with cross-functional teams to implement improvements.

Skills

Excel

SQL

Data visualization tools

Analytical thinking

Communication skills

Education

Bachelor's degree in industrial engineering

Bachelor's degree in data science

Related field

Tools

Fleet management dashboards

Cloud-based tools

Job description

Locus Robotics seeks an AMR Fleet Software Analyst to optimize robot fleet performance at a major 3PL client site in central New Jersey. You will analyze fleet utilization, identify bottlenecks, and propose workflow adjustments to boost throughput.

Responsibilities include configuring robot behavior parameters, developing insights from data, and generating weekly performance reports for customer stakeholders to drive continuous improvements across operations.