Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Staff Data Analyst to shape the future of Supply Chain with data-driven insights.
- Company: Ocado Technology is revolutionising online retail with cutting-edge tech like AI and robotics.
- Benefits: Enjoy flexible working, health perks, learning opportunities, and a vibrant office culture.
- Why this job: Be part of an innovative team that values collaboration, mentorship, and impactful decision-making.
- Qualifications: Experience in Supply Chain analytics, SQL, and a knack for translating data into business strategies.
- Other info: Explore AI applications and enjoy a clear career path with diverse project opportunities.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Ocado Technology is putting the worldâs retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and systems that power Ocado.com, the worldâs largest online-only grocery retailer as well as the global âOcado Smart Platformâ. 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 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 weâre 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 (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 âdata storiesâ 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)
BENEFITS: WHATâS IN IT FOR YOU?
Work and life should fit together, so we offer a range of benefits focusing on well-being, development, and team spirit. The final package will depend on the contract type we agree on.
- Standard benefits: life insurance, private health care [Luxmed], Multisport card, lunch vouchers, company share programs, and assistance for everyday worries and serious health problems.
- Learning opportunities: access to the Learnebly platform and LinkedIn Learning, English classes, and a book library,
- Parental support: additional +10 days maternity / +20 days paternity leave, funding for nurseries and kindergartens
- Hybrid model: 2 days/week in the office and flexibility to work from almost any location for up to 30 days a year.
- Office perks: centrally located offices with car and cycling parking, and home office equipment provided.
- Career growth: a clear career path with opportunities to rotate between projects, teams, domains and roles under the guidance of highly skilled senior colleagues
- Speaker community: public speaking training and support for preparing presentations at conferences or meetups, including our own Ocado Technology Meetups
- Passions groups: running, cycling and more
- Annual celebrations: carnival, summer parties, family picnics, or kidâs days.
At Ocado Technology, we\’re always exploring, learning, and implementing new initiatives, and we\’re eager to share stories, insights, and experiences with you. Meet our team members during meetups [Watch recordings here ]
Stay in the loop
Can\’t find what you\’re looking for or not ready for a move? Join our Talent Community to stay up to date with Ocado Group news and events, youâll also be the first to know about new opportunities – before they are posted.
#J-18808-Ljbffr
Staff Data Analyst - Supply Chain employer: Ocado Technology Group
Contact Detail:
Ocado Technology Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Staff Data Analyst - Supply Chain
â¨Tip Number 1
Familiarise yourself with the latest trends in Supply Chain analytics, especially within the retail and grocery sectors. Understanding how advanced analytics and AI are being applied can give you an edge in discussions during interviews.
â¨Tip Number 2
Network with professionals in the field by attending industry meetups or webinars. Engaging with others who work in Supply Chain analytics can provide insights into the role and may even lead to referrals.
â¨Tip Number 3
Brush up on your SQL and data modelling skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your abilities.
â¨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in past roles. Being able to articulate your impact clearly will demonstrate your value to potential employers.
We think you need these skills to ace Staff Data Analyst - Supply Chain
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your experience in Supply Chain and advanced analytics. Use specific examples that demonstrate your expertise and how it aligns with the role at Ocado Technology.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also reflects your understanding of Ocado's values, such as Trust and Collaboration. Mention how you can contribute to their innovative culture.
Showcase Relevant Skills: Emphasise your hands-on experience with SQL, BigQuery, and BI tools like Looker. Provide concrete examples of how you've used these skills to drive business change or improve supply chain processes.
Prepare for Potential Questions: Anticipate questions related to your analytical and modelling experience. Be ready to discuss specific projects where you influenced product strategy or improved operational efficiency using data-driven insights.
How to prepare for a job interview at Ocado Technology Group
â¨Showcase Your Supply Chain Expertise
Make sure to highlight your experience in the Supply Chain domain, especially within the Retail or Grocery space. Be prepared to discuss specific challenges you've faced and how your analytical skills helped overcome them.
â¨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 change through actionable insights and data models.
â¨Communicate Effectively with Stakeholders
Practice explaining complex data concepts in a way that non-technical stakeholders can understand. Tailor your 'data stories' to suit your audience, showcasing your ability to influence decision-making at all levels.
â¨Emphasise Collaboration and Mentorship
Be ready to discuss your experience working across teams and mentoring junior analysts. Highlight any collaborative projects you've been involved in and how you contributed to uplifting team capabilities.
