Supply Chain Analyst

About the Role

Our client is seeking a data-driven and analytical Supply Chain Analyst to join their forward-thinking team, remotely supporting operations in Edinburgh . You will be responsible for analyzing supply chain data to identify trends, inefficiencies, and opportunities for improvement. This role is critical in developing strategies to optimize inventory, reduce costs, and enhance overall supply chain performance. The ideal candidate will possess strong analytical skills, a deep understanding of supply chain principles, and the ability to translate complex data into actionable insights.

Key Responsibilities

• Analyze supply chain data to identify trends, bottlenecks, and cost-saving opportunities.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) such as lead times, inventory levels, and transportation costs.
• Collaborate with cross-functional teams to implement supply chain improvements and best practices.
• Forecast demand and manage inventory levels to ensure optimal stock availability while minimizing carrying costs.
• Identify and evaluate potential risks within the supply chain and develop mitigation strategies.
• Support the development and implementation of new supply chain technologies and processes.

Requirements

• Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, or a related field.
• Proven experience in a supply chain analysis or operations research role.
• Proficiency in data analysis tools such as Excel, SQL, and preferably BI tools like Tableau or Power BI.
• Strong understanding of supply chain management principles and methodologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex findings clearly and effectively to stakeholders.

Benefits

• Competitive salary and annual bonus structure.
• Fully remote working arrangement with flexible hours.
• Comprehensive health and wellness benefits.
• Generous allowance for professional development and training.
• A collaborative and innovative work culture focused on data-driven decision-making.