Data Analyst / Business Analyst / Supply Chain Analyst / Logistics Analyst

The wider Analytics & Data Science team is growing to support more areas of the business. As part of this, we’re creating new analyst roles focused on Supply Chain & Logistics. In this role, you’ll work closely with stakeholders to understand real business challenges, translate them into analytical problems, and deliver insight that drives measurable impact - whether that’s improving availability, optimising stock flow, or enhancing operational efficiency.

Key Accountabilities:

• Use data to uncover insights that drive better business decisions and improve supply chain and logistics performance
• Translate complex datasets into clear, compelling stories and actionable recommendations for operational stakeholders
• Identify opportunities to streamline and automate reporting and analytical processes, improving efficiency and consistency
• Partner closely with Supply Chain, Logistics and Commercial teams to understand challenges and support decision-making
• Tackle a wide range of problems, from performance optimisation to understanding availability drivers
• Deliver deep-dive analysis, highlighting risks, opportunities and areas for continuous improvement
• Build strong relationships with stakeholders, influencing and supporting decision-making at all levels
• Work collaboratively with analysts and data scientists to deliver scalable and impactful analytical solutions
• Contribute to a culture of continuous improvement, innovation and data-driven thinking across supply chain and logistics

• Experience working with Supply Chain and/or Logistics in an analytical role
• Strong analytical and problem-solving skills, with experience working with complex datasets
• Proficiency in SQL, with experience in Python and/or R (desirable)
• Experience working in cloud-based data environments (e.g. Databricks, Snowflake, BigQuery)
• Proven ability to translate data into clear insights and compelling, actionable recommendations
• A track record of identifying opportunities to improve reporting and analytical processes
• Strong stakeholder management skills, with the ability to build relationships across operational and commercial teams
• Curiosity, creativity, and a willingness to challenge the status quo to improve ways of working
• A proactive mindset — comfortable taking ownership, testing ideas, and driving improvements
• High attention to detail and a strong commitment to data quality and integrity