Principal Data Analyst

Staff/Principal Data Analyst (DA4) | Supply Chain, Analytics & Insight | London | Hybrid (2 days office)

About Us:

Ocado Technology is putting the world's retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and systems that power , the world's largest online-only grocery retailer as well as the global 'Ocado Smart Platform'. With everything from websites to fully autonomous warehouse that we design in-house, our employees need to be specialists in a wide range of technologies to help drive our business. We champion a value-led culture to get our teams working at their very best and to help create a collaborative working environment that our people love. Core values of Trust, Autonomy, Craftsmanship, Collaboration and Learn Fast help drive our innovative culture

About the role

The Staff/Principal Data Analyst 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 both strategic and hands-on: working across a range of stakeholders and often directly with Partners to understand their operations, through data, conversations, and collaboration with Partner Success teams. The Staff Analyst identifies opportunities to improve Supply Chains and product ranges, draws out key insights, and generalises learnings that can benefit all Partners.

By working closely with Product Managers, the Analyst helps embed these insights into OSP (Ocado Smart Platform), building impactful, data-driven decision support tools that enhance partner outcomes and strengthen the platform's overall capability.

Role and responsibilities will include:

• Strategic Contribution: Use Supply Chain domain knowledge and advanced analytics to influence the product strategy and roadmap, ensuring data-driven decision support is embedded within key initiatives
• Analytical and Modeling Leadership: Design, develop, and implement modeling and optimisation techniques to address complex Supply Chain challenges, such as reducing supply chain costs, improving automated planning decisions, reducing substitution, optimising range, or minimising waste
• Prototype and Testing:Explore opportunities for new models and tools, building prototypes and estimating business 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 from both a domain and analytical perspective to uplift the team's capabilities
• Explore AI for Supply Chain Decision-Making:Investigate and experiment with generative AI and other emerging technologies to enhance data-driven decision-making within the Supply Chain and Analytics domain
• Impact Measurement:Regularly assess the impact of deployed solutions, ensuring alignment with business objectives and optimising for long-term value

What we're looking for:

• Proven experience and Subject Matter Expertise (ideally within the Supply Chain/Retail/Grocery space)
• Advanced analytics and modelling experience
• Proven track record of informing business strategies and driving business change from actionable insight 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 such (Looker a plus)
• Able to plan complex work involving different crafts (e.g. Data Engineering, Data Science, Software Engineering) and different domains (e.g. Fulfilment, Ecommerce, Logistics)
• Confident incommunicating and influencing technical as well as non-technical senior management and key stakeholders, adapting the"data stories"and style to the audience
• Experience in mentoring and coaching more junior data analysts

It would be highly desirable if you also have the following (but not essential)

• Curious to explore LLM use-cases to support decision making within Supply Chain / Analytics&Insight
• Experience with merchandising, fulfilment operations (customer fulfilment centres or store-based), Ecommerce or last mile home delivery operations
• Experience with Machine Learning
• Experience using Looker (building 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 service (plus optional holiday purchase)
• Pension scheme (various options available including employer contribution matching up to 7%)
• Private Medical Insurance
• 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)
• Train Ticket loan (interest-free)
• Cycle to Work Scheme
• Opportunity to participate in Share save and Buy as You Earn share schemes
• 15% discount on and free delivery for all employees
• Income Protection(can be up to 50% of salary for 3 years) and Life Assurance (3 x annual salary)

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