AI & Reverse Logistics Business Analyst

Responsibilities

• Analyze and document business processes related to the Reverse Management System (RMS), including returns, repairs, refurbishment, and disposal, and identify opportunities for improvement
• Collaborate with stakeholders to gather requirements and translate them into actionable solutions that enhance RMS capabilities
• Work closely with IT developer and data teams to design, build, and optimize RMS features, integrating AI and analytics where applicable to improve efficiency and accuracy
• Monitor RMS performance, generate reports, and provide actionable insights to streamline reverse logistics operations
• Stay informed on industry trends in reverse logistics, RMS platforms, and AI technologies to recommend innovative solutions and system enhancements
• Support RMS implementations, upgrades, and troubleshooting while ensuring alignment with business objectives
• Design and implement AI models to optimize reverse logistics operations and reduce costs
• Analyze reverse logistics processes and identify areas for improvement using data and AI-driven solutions

Requirements

• Bachelor's degree in Business Administration, Supply Chain Management, Computer Science, or a related field
• 2+ years of experience in business analysis, logistics, or a related field
• Experience with data analysis and statistical modeling
• Proficient in Microsoft Office Suite, especially Excel
• Strong understanding of reverse logistics processes, including returns, repairs, refurbishment, and disposal
• Bachelor degree in Supply Chain, Logistics, Business, Information Systems, or related field
• Proven experience as an RMS Business Analyst or in reverse logistics operations

Preferred Requirements

• Master's degree in a relevant field
• Familiarity with ERP systems like SAP or Oracle
• Knowledge of programming languages such as SQL, Java, or C#
• Experience with RMS platforms and reverse logistics software