Bilingual Reverse Logistics Analyst – Data & WMS

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

Job summary

UNIS is looking for a Reverse Logistics Business Analyst in Buena Park, California. The successful candidate will analyze and optimize reverse logistics processes within the Warehouse Management System, ensuring efficiency in product returns and inventory management. Bilingual skills in Chinese and English are essential for communicating with stakeholders.

The role requires a Bachelor's degree and at least 3 years of experience in reverse logistics or supply chain analysis. Familiarity with WMS software is preferred, and strong data analysis skills are a must.

Qualifications

• Bachelor's degree in a related field is mandatory.
• Proven data analysis skills using tools like Excel and SQL are essential.
• Fluent communication in both Chinese and English is required.

Responsibilities

• Analyze reverse logistics processes to identify efficiency improvements.
• Collaborate with operational teams to develop solutions for product returns.
• Utilize WMS data to generate comprehensive reports and analysis.
• Communicate effectively with Chinese-speaking stakeholders regarding logistics processes.

Skills

Data analysis tools (e.g., Excel, SQL)

Bilingual communication (Chinese, English)

Reverse logistics knowledge

Education

Bachelor's degree in Business Administration, Logistics, or Supply Chain Management

Tools

WMS software (e.g., SAP, Oracle, Manhattan)

Job description

UNIS is looking for a Reverse Logistics Business Analyst in Buena Park, California. The successful candidate will analyze and optimize reverse logistics processes within the Warehouse Management System, ensuring efficiency in product returns and inventory management. Bilingual skills in Chinese and English are essential for communicating with stakeholders.

The role requires a Bachelor's degree and at least 3 years of experience in reverse logistics or supply chain analysis. Familiarity with WMS software is preferred, and strong data analysis skills are a must.