Logistics Data Analyst - Mandarin Speaking

About the company

Our client is a global logistics company with a rapidly growing presence in Australia, operating across Sydney, Melbourne, Adelaide, Brisbane and Perth. Backed by an established international network and strong global capabilities, the business is continuing to expand its Australian operations.

As the team grows, they are investing in local talent and creating a collaborative, fast-paced and entrepreneurial environment. The business is focused on delivering reliable, efficient and customer-focused logistics solutions, underpinned by technology and strong operational capability.

About the role

We are looking for a Logistics Data Analyst to monitor service quality data across our network, uncover what is affecting our service delivery metrics, and turn those insights into practical improvements. You will work closely with operations and business stakeholders, and your analysis will directly shape how we deliver.

What you will do

• Monitor logistics quality metrics on a daily, weekly and monthly basis, build and maintain core dashboards.
• Setup alerts and flag unusual movements early
• Analyse data across the full logistics chain to pinpoint bottlenecks affecting customer experience, then recommend actions and follow them through to resolution
• Setup automated delivery of reports and insights to key stakeholders
• Track enquiries, complaints, disputes and claims data, produce regular thematic reports, and propose process improvements that reduce cost and lift efficiency

What you will bring

• Previous experience in data analysis or data support experience in logistics, supply chain or a related field
• SQL skills for data extraction, cleaning and analysis
• Advanced Excel skills, including functions and pivot tables, with the ability to automate bulk reporting
• Experience with report automation, dashboard builds or process improvement projects is highly regarded
• A proactive, accountable approach with clear logical thinking and strong communication skills
• Bachelor’s degree in IT, logistics management, statistics, mathematics or a related field