Overview
Staff/Principal Data Analyst (A4) | Supply Chain Analytics & Insight | Hatfield | Hybrid (2 days office)
Ocado Technology is putting the world’s retailers online using the cloud, robotics, AI, and IoT. We develop the software and systems that power Ocado.com and the Ocado Smart Platform. We foster a value-led, collaborative culture built on Trust, Autonomy, Craftsmanship, Collaboration and Learn Fast.
The Role
The Staff Data Analyst (Analytics & Insight) brings deep domain expertise in Supply Chain, combined with advanced analytics and modelling skills, to help shape and influence the development of the Ocado Smart Platform (OSP). This role is strategic and hands-on: working with a range of stakeholders, often directly with Partners, to understand their operations through data and collaboration with Partner Success teams. The Analyst identifies opportunities to improve Supply Chains and product ranges, draws out key insights, and generalises learnings that benefit all Partners. Working closely with Product Managers, the Analyst helps embed insights into OSP, building data-driven decision support tools that enhance partner outcomes and strengthen the platform’s capability.
Responsibilities
* Strategic Contribution: Use Supply Chain domain knowledge and advanced analytics to influence the product strategy and roadmap, embedding data-driven decision support within key initiatives
* Analytical and Modeling Leadership: Design, develop, and implement modeling and optimisation techniques to address complex Supply Chain challenges (e.g., reducing costs, improving automated planning decisions, reducing substitution, optimising range, minimising waste)
* Prototype and Testing: Explore opportunities for new models and tools, build prototypes, estimate benefits, conduct testing, and measure impact on KPIs to refine models for deployment
* Collaboration Across Teams: Work with Product Managers, Data Engineers, Data Scientists and other stakeholders to integrate models and tools into the Ocado Smart Platform, ensuring user-friendly, scalable solutions for retail partners; act as the representative of the broader Data Org within the Supply Chain Analytics & Insight Product Area
* Mentorship and Knowledge Sharing: Mentor and guide junior analysts, sharing insights to uplift the team’s capabilities
* Explore AI for Supply Chain Decision-Making: Investigate generative AI and other emerging technologies to enhance data-driven decision-making
* Impact Measurement: Regularly assess the impact of deployed solutions, ensuring alignment with business objectives and long-term value
What We’re Looking For
* Proven experience and Subject Matter Expertise in Supply Chain (ideally within the Retail/Grocery space)
* Advanced analytics and modelling experience
* Proven track record of informing business strategies and driving change from actionable insights and data models or simulations
* Hands-on experience using SQL / BigQuery & Excel / Google Sheets
* Ability to translate an analysis or model into financial P&L impact to derive a business case
* Experience with BI tools (Looker a plus)
* Able to plan complex work involving different crafts (Data Engineering, Data Science, Software Engineering) and different domains (Fulfilment, Ecommerce, Logistics)
* Confident in communicating and influencing technical and non-technical senior management and stakeholders
* Experience in mentoring and coaching junior data analysts
Desirable (not essential)
* Curious to explore LLM use-cases to support decision making within Supply Chain / Analytics & Insight
* Experience with merchandising, fulfilment operations, ecommerce or last mile delivery
* Experience with Machine Learning
* Experience using Looker (Explores and dashboards)
* Experience using Python (or other data-oriented programming languages)
What Do I Get In Return
* Hybrid working (2 days in the office)
* 30 days work from anywhere globally
* Remote working for the month of August
* Wellbeing support through apps such as Unmind and an Employee Assistance Programme
* 25 days annual leave, rising to 27 days after 5 years (plus optional holiday purchase)
* Pension scheme with options including employer contribution up to 7%
* Private Medical Insurance
* 22 weeks paid maternity leave and 6 weeks paid paternity leave (subject to service requirements)
* Train Ticket loan (interest-free)
* Cycle to Work Scheme
* Opportunity to participate in Share Save and Buy as You Earn schemes
* 15% discount on Ocado.com and free delivery for employees
* Income Protection and Life Assurance
* Free Shuttle-bus to and from Hatfield train station
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
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