Senior Analyst - Planning and Analytics

Senior Analyst | Hybrid | Hatfield Please note: Candidates must already have the right to work in the UK; this position is not eligible for visa sponsorship now or in the future. At Ocado Logistics, we’re redefining the future of logistics. With cutting-edge technology, expanding operations, and innovative global partnerships, our mission is to deliver seamless, efficient, and customer-first experiences at scale. Our Planning & Analytics team sits at the heart of this transformation. We harness data to unlock efficiencies, drive cost savings, and enable smarter decision-making across the supply chain. And now, we’re growing—fast. We are looking for problem-solvers, data storytellers, and strategic thinkers who want to shape the next era of logistics. Where you could be joining As a Senior Analyst, you’ll have the opportunity to work across multiple high-impact projects that shape the way we operate:

• Routing & Delivery Optimisation: Improve how we design delivery routes, plan capacity, and match resources to demand.
• Network Planning & Scenario Modelling: Support strategic planning for the next 3–18 months, balancing people, vehicles, and assets to deliver operational efficiency.
• Labour Planning Transformation: Help rebuild forecasting and scheduling for a more flexible network and better work-life balance.
• Data, Tooling & Reporting Development: Build a best-in-class analytics stack to power decision-making across Logistics. Across all these areas, you’ll identify performance drivers, uncover root causes of inefficiency, and deliver insights that enable proactive, data-driven improvements across operations. What you’ll be doing:
• Drive efficiency and optimisation in supply chain and logistics using advanced analytics.
• Identify trends, patterns, and opportunities for improvement through insight-driven analysis.
• Work closely with data engineers and cross-functional teams to build and evolve a common data model for your domain.
• Develop and implement strategies across inventory, procurement, distribution, and operations.
• Design intuitive dashboards and reports to translate complex data into actionable insight for stakeholders.
• Stay ahead of industry trends, tools, and techniques to keep Ocado at the forefront of innovation. What we’re looking for:
• Strong experience as an Analyst in a big data or complex operational environment.
• Expertise in SQL and familiarity with Excel, VBA, Python, R, or similar languages.
• Exposure to dbt or modern data transformation frameworks highly desirable.
• Proven ability to solve quantitative and qualitative problems with creativity and rigour.
• Excellent communication skills—you can turn complex data into compelling stories that influence decision-making.
• A collaborative mindset and experience working across multidisciplinary teams. We’re looking for someone who can deliver insight, explain the ‘why’ behind the data, and use data storytelling to drive action. At Ocado, your career will be as dynamic as the technology we create. We foster a collaborative, inclusive culture with opportunities to make a tangible impact. Our benefits include: Career Growth: Work on innovative, high-impact projects at the cutting edge of data and logistics. Private Medical Cover: Comprehensive healthcare support. Travel Support: Cycle to Work Scheme, interest-free train season tickets, and free shuttle buses. Financial Benefits: Pension plan and share schemes to help you invest in your future. Employee Discounts: 15% off Ocado.com and savings with top retailers & restaurants. Ocado Group is an equal-opportunities employer. We ensure all candidates are treated fairly and without discrimination, regardless of sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion or belief, age, disability, or union membership. If you require reasonable adjustments during the recruitment process, please let us know. Apply now to join our growing Senior Analyst team at Ocado Logistics and help shape the future of logistics through data-driven innovation.