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- Tasks: Use advanced analytics to improve Supply Chains and influence product strategy.
- Company: Join Ocado Technology, a leader in online grocery retail and innovative tech solutions.
- Benefits: Enjoy hybrid working, 30 days global work, and comprehensive wellbeing support.
- Why this job: Make a real impact on supply chain efficiency with cutting-edge technology and data insights.
- Qualifications: Experience in Supply Chain analytics and strong skills in SQL and data modelling.
- Other info: Mentorship opportunities and excellent career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Staff Data Analyst (IC), Supply Chain | 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, the world’s largest online-only grocery retailer, as well as the global ‘Ocado Smart Platform’. Core values: Trust, Autonomy, Craftsmanship, Collaboration and Learn Fast.
The Staff Data Analyst brings deep domain expertise in Supply Chain, combined with advanced analytics and modelling skills, to shape and influence the development of the Ocado Smart Platform (OSP). This role is both strategic and hands-on: working with a range of stakeholders and often directly with Partners to understand their operations, through data, conversations, 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. By working with Product Managers, the Analyst helps embed insights into OSP, building data-driven decision support tools that enhance partner outcomes and strengthen platform capability.
Role and Responsibilities
- Strategic Contribution: Use Supply Chain domain knowledge and advanced analytics to influence 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 (e.g., reducing costs, improving automated planning, minimising waste, managing substitutions, optimising range)
- Prototype and Testing: Explore opportunities for new models and tools, build prototypes, estimate 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 domain and analytical insights to uplift the team
- Explore AI for Supply Chain Decision-Making: Investigate 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 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 (Looker is 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 as well as non-technical senior management and key stakeholders, adapting the “data stories” to the audience
- Experience in mentoring and coaching more 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 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
London, England, United Kingdom
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Staff Data Analyst employer: Ocado Technology
Contact Detail:
Ocado Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Ocado Technology on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Staff Data Analyst role.
✨Tip Number 2
Prepare for the interview by brushing up on your Supply Chain knowledge and analytics skills. Be ready to discuss how you've used data to drive business change in the past—real examples will make you stand out!
✨Tip Number 3
Show off your collaboration skills! Think of times when you've worked with cross-functional teams. Highlight how you communicated complex data insights to non-technical stakeholders—this is key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Ocado team.
We think you need these skills to ace Staff Data Analyst
Some tips for your application 🫡
Show Your Supply Chain Expertise: Make sure to highlight your experience in Supply Chain, especially if you've worked in the Retail or Grocery space. We want to see how your skills can influence our product strategy and help us tackle complex challenges.
Be Data-Driven: When you describe your past work, focus on how you've used advanced analytics and modelling to drive business change. We love seeing concrete examples of how your insights have made a real impact!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. This shows us that you’re genuinely interested in the role and understand what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us keep track of all the amazing talent out there!
How to prepare for a job interview at Ocado Technology
✨Know Your Supply Chain Inside Out
Make sure you brush up on your supply chain knowledge, especially within the retail or grocery sector. Be ready to discuss specific challenges and trends in the industry, as well as how your analytical skills can address these issues.
✨Showcase Your Analytical Skills
Prepare to demonstrate your advanced analytics and modelling experience. Bring examples of past projects where you've used SQL, BigQuery, or Excel to drive business change. Being able to translate complex data into actionable insights will impress your interviewers.
✨Collaboration is Key
Since this role involves working with various teams, be ready to talk about your experience collaborating with product managers, data engineers, and other stakeholders. Share examples of how you've successfully integrated models into existing systems and the impact it had.
✨Mentorship Matters
If you've mentored junior analysts before, highlight this experience. Discuss how you've shared your domain expertise and analytical insights to uplift your team. This shows that you're not just a great analyst but also a team player who values knowledge sharing.
