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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.

Leads people strategy workstreams, performance frameworks, and cross-functional delivery across a 16,000-person workforce. The role translates business goals into roadmaps, monitors strategic progress and benefit realization, synthesizes workforce data and market trends, and prepares executive reporting and recommendations. It also requires stakeholder influence, constructive challenge, and horizon scanning to support leadership decision-making and annual strategy planning.

Leads supply chain and logistics planning analytics, interpreting complex data to identify efficiency opportunities, risks, and scenarios. The role develops recommendations for routing, capacity, labour, inventory, procurement, fulfilment, and network planning; presents insights to senior stakeholders; supports data models, dashboards, and analytics projects; and mentors junior team members.

Senior Data Scientist responsible for developing and deploying machine learning solutions, conducting advanced statistical analysis, defining business metrics, and solving complex planning and forecasting problems. The role involves querying and analyzing data with SQL and Python, creating visualizations and stakeholder reports, influencing business decisions, implementing algorithms, managing project delivery, and mentoring other data scientists.

Analyze logistics and supply chain data to identify efficiency opportunities, optimize operations, develop dashboards and data models, and deliver recommendations to stakeholders. The role collaborates with engineers and multidisciplinary teams, leads analytics projects, supports process improvements, and mentors junior analysts across routing, fulfilment, labour planning, procurement, inventory, and distribution.

Lead and embed change across Ocado Logistics projects: develop change management plans, assess impact/readiness, manage dependencies, drive adoption and sustainability, define success metrics, coach stakeholders, and support communications and training to ensure operational acceptance.

Leads large-scale transformation programmes focused on HR transformation, organisational design, culture change, target operating models, and strategic people initiatives. Responsibilities include executive stakeholder management, programme governance, change management, workstream coordination, budget and resource planning, and developing transformation roadmaps across a complex operational network.