Teams at Ocado Logistics

Analyze and visualize data to support operational and strategic decisions across logistics. Responsibilities include consolidating data from multiple sources, developing reporting and BI tools, identifying performance trends and root causes, optimizing routes and networks, and delivering insights that improve KPIs, efficiency, and customer experience. The role collaborates with Logistics, Finance, Technology, and commercial teams in a hybrid, 12-month fixed-term position.

Analyze logistics and supply chain data, KPIs, trends, and root causes to identify operational improvements. Build reporting and visualizations, consolidate data from multiple sources, respond to analytical requests, support cross-functional projects, and present actionable recommendations to stakeholders. The role requires strong SQL and scripting capabilities, business intelligence experience, curiosity, problem-solving skills, and effective communication across Logistics and Technology teams.

Lead analytics delivery across operational, workforce, financial, and planning areas. Manage and develop a team of 3–5 analysts, translate complex data into actionable recommendations, oversee analytical products, and deliver automation and predictive modelling initiatives. Partner with senior stakeholders to develop business cases, prioritize projects, improve performance, and drive data-informed decisions using SQL, Python, cloud data platforms, and emerging AI tools.