Remote Logistics Analyst

Darum lohnt es sich

About the Role Our client is seeking a highly analytical and data-driven Remote Logistics Analyst to join their fully remote operations team, supporting their business across South Africa .

This is an exceptional opportunity for a motivated individual to make a significant impact on supply chain performance from the comfort of their home office, contributing to a data-centric approach to logistics optimization.

Key Responsibilities • Analyze logistics data to identify patterns, inefficiencies, and opportunities for cost savings and service improvements. • Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to transportation, warehousing, and inventory. • Conduct cost-benefit analyses for proposed logistics strategies and operational changes. • Collaborate with internal teams to gather requirements and translate business needs into analytical projects. • Provide recommendations for optimizing routing, carrier selection, and network design. • Stay abreast of industry trends and best practices in logistics and supply chain analytics.

Benefits • Competitive salary commensurate with experience. • Fully remote work arrangement, offering significant flexibility. • Comprehensive health, dental, and vision insurance coverage. • Generous annual leave and paid holidays. • Opportunities for continuous learning and professional development in a data-focused environment.

In this role, you will be responsible for analyzing complex logistics data, identifying trends, and providing actionable insights to improve efficiency, reduce costs, and enhance service levels. You will work closely with various departments to understand their logistical needs and develop strategic recommendations.

Requirements • Bachelor's degree in Logistics, Supply Chain Management, Data Analytics, Statistics, or a related quantitative field. • Minimum of 3 years of experience in a logistics or supply chain analysis role. • Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL, Python/R for data analysis). • Experience with data visualization tools such as Tableau or Power BI. • Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences. • Proven ability to work independently and manage multiple projects in a remote work setting.