
Supply chain Analyst
Jobgether
Supply chain Analyst
This is a remote Supply Chain Analyst position based in Australia, offered on behalf of a partner company. The role involves analyzing complex datasets, developing predictive models, and collaborating across teams to improve supply chain performance. Requires 1-3 years of experience, strong Python, SQL, and data visualization skills, and knowledge of AI/ML frameworks and cloud platforms.
Supply chain Analyst
This is a remote Supply Chain Analyst position based in Australia, offered on behalf of a partner company. The role involves analyzing complex datasets, developing predictive models, and collaborating across teams to improve supply chain performance. Requires 1-3 years of experience, strong Python, SQL, and data visualization skills, and knowledge of AI/ML frameworks and cloud platforms.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Key Responsibilities
- Analyze large and complex supply chain datasets to identify trends, operational risks, cost-saving opportunities, and performance improvement areas.
- Develop predictive models and optimization algorithms using AI and machine learning techniques to support supply chain decision-making.
- Collaborate with engineering and product teams to integrate analytics, models, and data-driven capabilities into supply chain platforms.
- Monitor key performance indicators and build dashboards using data visualization tools to provide clear, real-time visibility into operational performance.
- Support strategic initiatives involving inventory optimization, demand planning, logistics efficiency, procurement, supplier performance, and waste reduction.
- Work cross-functionally with Supply Chain, Finance, Procurement, R&D, engineering, and other stakeholders to translate business challenges into analytical solutions.
- Present analytical findings, insights, and recommendations to leadership and business stakeholders to support informed decision-making.
- Contribute to broader transformation and cost-improvement initiatives by applying data, automation, and analytical techniques to supply chain processes.