Sea Logistics Operational Care Specialist, Revenue Care

It's More Than A Job

As a member of the Freight Forwarding team Kuehne+Nagel, you will play a key role in transporting goods, optimising processes, and fulfilling our customers' promises. And by transporting medicines, toys and important machine parts, you are not only delivering goods, you are making small and big moments possible for people all around the world. At Kuehne+Nagel, our contribution counts in more ways than we imagine.

The Operational Care Center Specialist, Revenue Care is the responsible for daily Forwarding Subledger (FSL) handling and to ensure gross profit (GP) is maximized. They are the expert in detection and correction of financial discrepancies, which is a top priority and clear expectation. Key Performance Indicators (KPIs) are the measurements from which we gauge success. Root cause analysis and engagement with stakeholders to implement corrective actions is fundamental to the role.

• Manage daily FSL activity with the goal of minimizing month-end deferrals.
• Review all open files with a focus on maximizing gross profit.
• Resolve excessive profit or loss files and escalate recurring issues to the supervisor.
• Correct inaccurate accruals, ensure proper future accrual entries, and review historical accruals to prevent duplication.
• Enter missing accruals in FSL as needed to ensure each file reflects its true financial position.
• Conduct root-cause analysis on expected GP discrepancies to support improved AutoFSL performance.
• Partner closely with internal stakeholders to achieve gross profit targets.
• Maintain a strong understanding of FSL KPIs and apply consistent effort toward meeting performance expectations.
• Collaborate with the system process team to enhance automation and strengthen Operational Care workflows.

• 1+ years of experience in sea logistics with a solid understanding of operational and financial workflows
• Working knowledge of accounting principles, including accruals, revenue recognition, and gross profit analysis
• Proficiency in Microsoft Office Suite with advanced Excel skills (formulas, pivot tables, lookups, and financial analysis)
• Strong analytical mindset with the ability to identify discrepancies, interpret financial data, and support root-cause investigations
• High attention to detail and accuracy when reviewing files, financial entries, and system data
• Ability to collaborate effectively with cross-functional teams and communicate findings clearly to stakeholders
• Comfortable working in a fast-paced environment with time-sensitive deadlines, especially around month-end close
• Proactive, solutions-oriented approach with a focus on improving processes and supporting automation initiatives

This position is not eligible for employment visa sponsorship. Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship.

Kuehne+Nagel we strive daily to inspire, empower, and deliver not only to our customers, but also to our colleagues. We offer a dynamic global work environment with opportunities for excellent training programs and career mobility. Base wage is part of a competitive total rewards package that includes health and welfare benefits, a 401k retirement savings plan, tuition reimbursement, and incentive compensation for eligible roles.

Individual pay may vary from the target range and is determined by a number of factors including experience, skills, job location, internal pay equity, and other relevant business considerations. Kuehne+Nagel reviews pay ranges regularly to ensure competitive and fair pay based on industry market data.

Kuehne+Nagel participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

Artificial Intelligence (AI) tools may be used to assist in specific processes [e.g. screening applications, interview scheduling]. These tools analyze information to support decision-making, but final decisions are made by human…