Position: Warranty Reimbursement Analyst

Location: Woodcliff Lake, NJ

Duration: 6 Months Contract

Hybrid 3 days onsite / 2 days remote.

Main Responsibilities

The Warranty Reimbursement Analyst analyzes tracks and documents the progress of warranty labor rate and part reimbursement requests from all dealerships. In addition, candidate will compile data, create, and distribute routine monthly financial tracking reports.

• Review and evaluation of labor and part reimbursement request packages.

• Follow up with regional personnel for incomplete / incorrect documentation received with requests.

• Comprehensively analyze and evaluate each request in entirety.

• Sustain absolute attention to detail and accuracy.

• Present final outcome of review to Senior Warranty Financial Specialist Supervisor.

• Tracking of labor / parts increase request throughout entire approval workflow.

• Maintain / update tracking report.

• Archive all dealer files and documentation electronically as required – in an organized structure.

• Filing of labor / parts increase request packages after completion of request.

• Compile data for and create monthly tracking reports.

• Support Warranty Information Intelligence Specialist Senior Warranty Financial Supervisor when compiling information for legal issues involving labor and parts reimbursement disputes.

• Support analysis work within section for projects; find, compile & process data to be presented to project lead.

• Execute ad-hoc analysis as needed for labor and parts related topics.

Position Requirements

• Bachelor degree or equivalent years of relevant work experience.

• Preferred Bachelor’s Degree in Business Management, Finance, Mathematics, or Statistics.

• 1-3 years of: Strong financial analysis / automotive data analysis.

• Additional 1-2 years’ experience in retail or service area for automotive dealerships preferred.

• Strong Microsoft applications including Word, PowerPoint, Excel, Access.

• Strong analytical skills.

• Strong interpersonal skills, including written and oral communication skills.

• Ad hoc business intelligence tools and applications: COGNOS, Tableau.