Fleet Integration & Readiness Analyst II

Bravo Technical Resources Inc; Tulsa (OK); Hybrid; USD 34,000 - 55,000; Full time

Benefits offered by this job

Hybrid work option

Job summary

BravoTECH, a leader in IT staffing, seeks a Fleet Analyst II for a contract opportunity with a transportation company in Tulsa, Oklahoma. You will support fleet integration during acquisition planning, Day 1 readiness, post-close transition, and stabilization, coordinating data, asset onboarding, and driver support to ensure safe, reliable operations.

The role requires experience across multiple fleet functions, strong data validation, and proficiency with Microsoft Excel.

Qualifications

• 3–5 years of fleet management experience in complex fleets.
• Proficient in Excel with data validation and PivotTables.
• Experience with DOT compliance and ownership transfers.

Responsibilities

• Collect and reconcile vehicle, trailer, equipment, and driver data.
• Coordinate asset onboarding and fuel, maintenance, and telematics programs.
• Review titles, registrations, and ownership-transfer documents.
• Support drivers with system access, training, and PINs.
• Assist with supplier onboarding and billing transitions.
• Track readiness, documentation gaps, and compliant status.
• Maintain dashboards, checklists, and process documentation.
• Resolve routine issues and escalate complex risks.

Skills

Fleet management

Data validation

Excel

PivotTables

Power Query

DOT compliance

Supplier onboarding

Acquisitions support

Billing transitions

Fleet reporting

Documentation

Customer service

Tools

Microsoft Office

Job description

BravoTECH, a leader in IT staffing, seeks a Fleet Analyst II for a contract opportunity with a transportation company in Tulsa, Oklahoma. You will support fleet integration during acquisition planning, Day 1 readiness, post-close transition, and stabilization, coordinating data, asset onboarding, and driver support to ensure safe, reliable operations.

The role requires experience across multiple fleet functions, strong data validation, and proficiency with Microsoft Excel.