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For Companies At a Glance
- Tasks: Lead data analysis to optimise supply chains and enhance decision-making tools.
- Company: Join Ocado Technology, a leader in online grocery retail and innovative tech solutions.
- Benefits: Enjoy hybrid working, 30 days remote work globally, and wellness support.
- Why this job: Be part of a collaborative culture that values innovation and personal growth.
- Qualifications: Experience in supply chain analytics, SQL, and mentoring junior analysts required.
- Other info: Explore AI applications and enjoy perks like discounts and interest-free loans.
The predicted salary is between 48000 - 84000 £ per year.
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 Ocado.com, the world’s largest online-only grocery retailer as well as the global ‘Ocado Smart Platform’. With everything from websites to fully autonomous warehouses 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 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 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, 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 in Supply Chain (ideally within the 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 as 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 in communicating 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 Ocado.com 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).
- Free Shuttle-bus to and from Hatfield train station.
Principal Data Analyst - Supply Chain employer: Ocado Technology
Contact Detail:
Ocado Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Analyst - Supply Chain
✨Tip Number 1
Familiarise yourself with Ocado's Smart Platform and its impact on supply chain management. Understanding their technology and how it integrates with retail operations will help you articulate your insights during discussions.
✨Tip Number 2
Network with professionals in the supply chain analytics field, especially those who have experience with Ocado or similar companies. Engaging in conversations can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning as they relate to supply chain decision-making. Being able to discuss these topics confidently will demonstrate your proactive approach and relevance to the role.
✨Tip Number 4
Prepare to showcase your analytical skills through practical examples. Be ready to discuss specific projects where you've used advanced analytics to drive business change, particularly in supply chain contexts.
We think you need these skills to ace Principal Data Analyst - Supply Chain
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Supply Chain analytics and modelling. Use specific examples that demonstrate your expertise in the retail or grocery sector, as well as your proficiency with SQL, BigQuery, and BI tools like Looker.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it can drive business change. Mention your understanding of Ocado's innovative culture and how your skills align with their core values of Trust, Autonomy, and Collaboration.
Showcase Your Analytical Skills: Provide concrete examples of past projects where you used advanced analytics to solve complex Supply Chain challenges. Highlight any experience with AI or machine learning, as this is a desirable skill for the role.
Prepare for Potential Questions: Think about how you would explain your analytical processes and decision-making strategies to both technical and non-technical stakeholders. Be ready to discuss how your insights have previously influenced business strategies.
How to prepare for a job interview at Ocado Technology
✨Showcase Your Supply Chain Expertise
Make sure to highlight your experience in the supply chain domain, especially within retail or grocery. Be prepared to discuss specific challenges you've faced and how your analytical skills helped overcome them.
✨Demonstrate Advanced Analytics Skills
Prepare to talk about your hands-on experience with SQL, BigQuery, and Excel. Bring examples of how you've used these tools to drive business insights and decision-making in previous roles.
✨Communicate Effectively with Stakeholders
Practice explaining complex data concepts in simple terms. You’ll need to adapt your communication style to suit both technical and non-technical audiences, so think of examples where you’ve successfully done this.
✨Emphasise Collaboration and Mentorship
Be ready to discuss your experience working across teams and mentoring junior analysts. Highlight any collaborative projects that resulted in significant improvements or innovations in your previous roles.
