Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Logistics Data Analyst based in Brazil.
In this role, you will support global logistics operations by executing audit and reconciliation processes that ensure accuracy, transparency, and efficiency across freight invoice management. You will work with large-scale logistics data to identify exceptions, resolve discrepancies, and improve service quality across international client accounts. The position involves close collaboration with carriers and customers across multiple regions, requiring strong communication and analytical skills. You will also contribute to continuous improvement initiatives by identifying inefficiencies and supporting process optimization efforts. This is a highly operational and data-driven role where attention to detail directly impacts service performance and client satisfaction. It is ideal for someone who enjoys working with complex datasets in a fast-paced global logistics environment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Logistics Data Analyst based in Brazil.
In this role, you will support global logistics operations by executing audit and reconciliation processes that ensure accuracy, transparency, and efficiency across freight invoice management. You will work with large-scale logistics data to identify exceptions, resolve discrepancies, and improve service quality across international client accounts. The position involves close collaboration with carriers and customers across multiple regions, requiring strong communication and analytical skills. You will also contribute to continuous improvement initiatives by identifying inefficiencies and supporting process optimization efforts. This is a highly operational and data-driven role where attention to detail directly impacts service performance and client satisfaction. It is ideal for someone who enjoys working with complex datasets in a fast-paced global logistics environment.
