Data-Driven Fleet Optimization Analyst

PGW Auto Glass; Cranberry Township (Butler County); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Health coverage

Dental coverage

Vision coverage

401(k) retirement plan

Job summary

PGW Auto Glass is seeking a detail-oriented Fleet Analyst to optimize our vehicle fleet across performance, safety, and cost. You will collaborate with branch managers, territory directors, safety, and fleet teams to align with organizational needs.

Responsibilities include data analysis of fleet metrics, regulatory compliance, and developing dashboards for leadership. Ideal candidates bring 3+ years in fleet/logistics, strong analytical skills, and proficiency with fleet software and MS Office.

Qualifications

• Bachelor's degree in business administration, logistics, supply chain management, or related field (or equivalent experience).
• Minimum 3 years of experience in fleet management, logistics, or related field.

Responsibilities

• Stay current on regulations governing fleet operations (inspections, emissions, licensing).
• Analyze data on fleet performance, fuel use, maintenance costs, and utilization.
• Improve fleet performance with KPI-driven insights across leadership.
• Organize and maintain fleet telematics requirements.
• Track replacement timelines and coordinate with fleet management.

Skills

Communication skills

Customer service

Self-starter

Microsoft Office

Fleet software

GPS tracking

Travel up to 25%

Analytical thinking

Education

Bachelor's degree in Business Administration / Logistics / Supply Chain

Tools

Fleet management software

GPS tracking systems

Job description

PGW Auto Glass is seeking a detail-oriented Fleet Analyst to optimize our vehicle fleet across performance, safety, and cost. You will collaborate with branch managers, territory directors, safety, and fleet teams to align with organizational needs.

Responsibilities include data analysis of fleet metrics, regulatory compliance, and developing dashboards for leadership. Ideal candidates bring 3+ years in fleet/logistics, strong analytical skills, and proficiency with fleet software and MS Office.