We are looking for a detail-oriented Billing Analyst to join our team in Charlotte, North Carolina. In this role, you will play a key part in managing the billing process for multiple divisions, ensuring accuracy and efficiency in high-volume invoicing. This hybrid position offers flexibility with remote work on Mondays and Fridays, as well as a supportive and people-first organizational culture.<br><br>Responsibilities:<br>• Prepare and deliver accurate invoices based on shipment data from the previous day.<br>• Reconcile billing records and post finalized invoices into the Siteline system.<br>• Manage portal entries for invoicing processes across multiple customer platforms.<br>• Build and maintain strong relationships with assigned divisions to ensure approval and accuracy of invoices.<br>• Collaborate with a team managing billing for over 30 divisions, providing backup support when needed.<br>• Monitor and address any discrepancies in the billing process to maintain data integrity.<br>• Ensure compliance with company billing policies and customer-specific requirements.<br>• Assist in process improvements to enhance efficiency within the billing cycle.<br>• Provide exceptional customer service to internal and external stakeholders.<br>• Support additional accounts receivable tasks as required.
<p>We are looking for a skilled Logistics Manager to join our team in Rock Hill, South Carolina. In this role, you will play a critical part in optimizing logistics processes, improving cost efficiency, and ensuring seamless global operations. This position offers a hybrid work environment, blending in-office collaboration with remote flexibility.</p><p><br></p><p>Responsibilities:</p><p>• Analyze and enhance logistics operations to improve overall efficiency and reduce costs.</p><p>• Collaborate with leadership and cross-regional teams to align logistics strategies with business objectives.</p><p>• Utilize SAP and other tools to manage integration processes, including codes and modules.</p><p>• Develop and implement process improvements to streamline supply chain and distribution workflows.</p><p>• Provide data-driven insights to support decision-making and identify cost-saving opportunities.</p><p>• Manage customer-facing communications while ensuring client satisfaction and alignment with global logistics standards.</p><p>• Oversee and coordinate activities across multiple regions to ensure consistency and effectiveness.</p><p>• Conduct assessments and evaluations to identify areas for improvement in international logistics operations.</p><p>• Work closely with internal and external stakeholders to address challenges and implement solutions.</p><p>• Prepare and present reports on logistics performance metrics to leadership </p>
<p>We are currently seeking a Data Engineer for a contract opportunity supporting a growing data and analytics organization. This role is focused on building and maintaining modern cloud-based data infrastructure, including scalable ELT pipelines, Snowflake data solutions, and automated data workflows.</p><p>This is a hands-on engineering role where you will design, develop, and support end-to-end data systems that enable reliable reporting, analytics, and business decision-making.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable ELT/ETL data pipelines and workflows</li><li>Develop and optimize Snowflake-based data warehouse solutions</li><li>Build and maintain data models and transformation logic to support analytics and reporting</li><li>Write efficient and high-quality Python and SQL code to support data engineering processes</li><li>Develop reusable data engineering frameworks and backend data services</li><li>Implement and maintain CI/CD pipelines using GitHub and related tooling</li><li>Build automated testing frameworks to ensure data quality and reliability</li><li>Create reporting and visualization solutions using tools such as Power BI</li><li>Monitor production data systems and resolve performance or reliability issues</li><li>Support continuous improvement of data architecture, processes, and standards</li></ul>