Remote Logistics Analyst

About the Role

Our client is looking for a data-driven and analytical Remote Logistics Analyst to contribute to their transportation strategy from anywhere in the UK. This role will involve analysing complex logistics data to identify trends, optimise operational efficiency, and support strategic decision-making. You will work closely with various teams, including operations, planning, and finance, to provide insights that drive cost savings and service improvements across the company's transport network. This is an exciting opportunity for an individual passionate about data analysis and its application in the logistics sector, offering a fully remote working experience.

Key Responsibilities

• Collect, process, and analyse large datasets related to transportation costs, delivery times, and fleet utilisation.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) for logistics operations.
• Identify opportunities for process improvements and cost reductions within the supply chain.
• Provide data-driven recommendations to support strategic planning and operational decision-making.
• Collaborate with cross-functional teams to ensure data accuracy and integrity.
• Stay abreast of industry trends and best practices in logistics analytics and technology.

Requirements

• Bachelor's degree in Logistics, Supply Chain Management, Data Analytics, or a related quantitative field.
• Proven experience in a logistics or supply chain analysis role.
• Strong proficiency in data analysis tools such as Excel, SQL, and ideally BI tools like Tableau or Power BI.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage multiple projects in a remote setting.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote working arrangement with flexible hours.
• Comprehensive health and wellness benefits package.
• Generous annual leave allowance.
• Opportunities for professional development and skill enhancement in data analytics.