AI & Reverse Logistics Business Analyst

UNIS; Buena Park (CA); On-site; USD 70,000 - 90,000; Full time

Job summary

UNIS is looking for a detail-oriented AI & Reverse Logistics Business Analyst who will analyze and optimize reverse logistics processes through the use of AI tools. The role involves collaborating with stakeholders to gather requirements, monitor system performance, and enhance overall supply chain effectiveness.

Applicants should possess a Bachelor's degree in relevant fields along with at least 2 years of experience in business analysis or logistics. Familiarity with ERP systems and data analysis is essential for success in this position.

Qualifications

• 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.

Responsibilities

• Analyze and document business processes related to Reverse Management System (RMS).
• Collaborate with stakeholders to gather requirements for RMS enhancements.
• Design and implement AI models to optimize reverse logistics operations.

Skills

Data analysis

Statistical modeling

Reverse logistics processes

Proficient in Microsoft Excel

Education

Bachelor's degree in Business Administration or related field

Tools

SAP

Oracle

SQL

Java

C#

Job description

Overview

We are seeking a detail‑oriented and innovative AI & Reverse Logistics Business Analyst to join our team. This role involves analyzing and optimizing reverse logistics processes using artificial intelligence tools and techniques. The ideal candidate will be adept at bridging the gap between technology and logistics, improving efficiencies, and driving cost savings while enhancing overall supply chain performance. You will work closely with various stakeholders to gather requirements, analyze data, and develop actionable insights.

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.

Minimum 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.
• 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.