
Quality Control Assistant (Bilingual in English & Mandarin)
UniUni · Brea, États-Unis d'Amérique · Onsite
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Who Are We?
UniUni is a Canadian last-mile e-commerce logistics company that is one of the fastest-growing companies in Canada. As a platform that seamlessly integrates advanced technology with efficient delivery solutions, UniUni enables businesses to provide a superior online shopping experience, ensuring unparalleled efficiency and customer satisfaction. Catering to a diverse range of clients—from emerging e-commerce platforms to established online retailers and brands—UniUni offers exceptional service across North America. Recognized as the fourth fastest-growing company in Canada, UniUni continues to set industry standards, offering a robust, customer-centric approach to e-commerce logistics.
What Do We Offer?
At UniUni, we offer exciting opportunities to our employees to achieve their career goals. We believe all roles should develop your skills, broaden your experience, and help you build a rewarding career. If you are ready to join UniUni’s dynamic team, while working hard and having fun doing it, we invite you to apply online and let us know how you can be part of our success story.
Job Description:
The Quality Control Assistant plays a crucial role in maintaining and improving delivery service standards. By ensuring POD accuracy and monitoring key logistics data, this role directly impacts customer satisfaction and operational efficiency. The assistant helps prevent delivery disputes, reduces errors in the supply chain, and contributes to overall service quality improvement. Additionally, the role requires collaboration with various departments to develop and enforce quality standards.
The Quality Control Assistant is responsible for ensuring the accuracy and quality of last-mile delivery services by inspecting Proof of Delivery (POD) data and monitoring key performance metrics. This role involves managing a team to oversee delivery quality, identifying potential issues before customer complaints arise, and analyzing data to optimize logistics operations.
Requirements