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Placements24 is seeking a highly analytical Remote Logistics Analyst to join a leading global logistics and supply chain team. This fully remote role focuses on analyzing complex data, identifying trends, and delivering data-informed recommendations to optimize performance.
Responsibilities include collecting and cleaning large datasets, building data models, and creating dashboards with Tableau or Power BI.
Our client, a leading global logistics and supply chain solutions provider, is seeking a highly analytical and data-driven Remote Logistics Analyst to join their innovative team. This is a fully remote position, offering the flexibility to work from anywhere. The primary focus of this role is to analyze complex logistics data, identify trends, and develop strategic recommendations to optimize supply chain performance, reduce costs, and enhance efficiency. You will work closely with various departments, including operations, procurement, and customer service, to implement data-informed improvements. The ideal candidate is adept at data modeling, possess strong quantitative skills, and has a deep understanding of supply chain principles. This role is critical in driving our client's commitment to leveraging data for competitive advantage in the logistics industry. You will play a key role in shaping the future of our supply chain operations from a remote standpoint.
Collect, clean, and analyze large datasets related to logistics and supply chain operations, including transportation, warehousing, and inventory. Develop and maintain data models to identify bottlenecks, inefficiencies, and cost-saving opportunities. Generate comprehensive reports and dashboards that visualize key performance indicators (KPIs) and provide actionable insights to stakeholders. Collaborate with cross-functional teams to define data requirements and support the implementation of analytical solutions. Conduct market research and benchmark analysis to identify best practices and emerging trends in logistics. Develop and recommend strategies for optimizing transportation routes, carrier selection, and network design. Monitor inventory levels and forecast demand to improve stock management and reduce carrying costs. Support the development and implementation of new logistics technologies and systems. Present findings and recommendations to senior management and operational teams. Ensure data integrity and accuracy in all analytical processes.
Bachelor's degree in Logistics, Supply Chain Management, Industrial Engineering, Statistics, Data Science, or a related quantitative field. Minimum of 4 years of experience in a logistics analysis or supply chain analytics role. Strong proficiency in data analysis tools such as SQL, Python (Pandas, NumPy), R, or similar. Experience with business intelligence tools (e.g., Tableau, Power BI) for data visualization and reporting. Excellent understanding of supply chain management principles, transportation modes, and warehousing operations. Proven ability to translate complex data into actionable business insights. Strong analytical, problem-solving, and critical thinking skills. Excellent written and verbal communication skills, with the ability to present technical information clearly. Ability to work independently and collaboratively in a remote team environment. Experience with data modeling and statistical analysis techniques is essential.
This fully remote position offers a highly competitive salary and comprehensive benefits package, including health insurance, retirement savings plans, and generous paid time off. Our client is committed to employee well-being and provides resources for professional development and continuous learning. You will have the autonomy to manage your work schedule while being part of a supportive and collaborative global team. Access to cutting-edge analytical tools and technologies is provided. Enjoy the flexibility of working from home while making a significant impact on international supply chains. This is an excellent opportunity for a motivated analyst to advance their career in a leading logistics organization.