At a Glance
- Tasks: Drive efficiency in logistics using advanced analytics and data-driven insights.
- Company: Join Ocado Logistics, a leader in redefining the future of logistics.
- Benefits: Enjoy flexible work, generous leave, private medical cover, and exclusive discounts.
- Other info: Inclusive workplace committed to diversity and personal growth.
- Why this job: Shape the next era of logistics with cutting-edge technology and impactful projects.
- Qualifications: Strong analytical skills, experience with SQL, and a collaborative mindset.
The predicted salary is between 47250 - 57750 £ per year.
Please note: Candidates must already have the right to work in the UK; this position is not eligible for visa sponsorship now or in the future.
At Ocado Logistics, we’re redefining the future of logistics. With cutting-edge technology, expanding operations, and innovative global partnerships, our mission is to deliver seamless, efficient, and customer-first experiences at scale.
Our Planning & Analytics team sits at the heart of this transformation. We harness data to unlock efficiencies, drive cost savings, and enable smarter decision-making across the supply chain. And now, we’re growing—fast.
We are looking for problem-solvers, data storytellers, and strategic thinkers who want to shape the next era of logistics. You'll generate business recommendations using data to identify opportunities to improve performance of core business processes. Delivering analysis to key stakeholders to influence and support decision making and collaborate with teams across the business to implement changes based on data-driven insight.
Where you could be joining:
- Routing & Delivery Optimisation: Improve how we design delivery routes, plan capacity, and match resources to demand.
- Network Planning & Scenario Modelling: Support strategic planning for the next 3–18 months, balancing people, vehicles, and assets to deliver operational efficiency.
- Labour Planning Transformation: Help rebuild forecasting and scheduling for a more flexible network and better work-life balance.
- Data, Tooling & Reporting Development: Build a best-in-class analytics stack to power decision-making across Logistics.
- Fulfilment Optimization: Analysing and optimizing the way we pick and distribute our products from our robotic warehouses to being loaded on the vans ready for delivery, including LGV movements between sites.
- Central Analytics: Providing the expertise to develop trusted data models, data products and applications/visualisations for users in all functions in our business (e.g. delivery operations, fulfilment operations, planning, finance, people, health & safety etc).
Across all these areas, you’ll identify performance drivers, uncover root causes of inefficiency, and deliver insights that enable proactive, data-driven improvements across operations.
What you’ll be doing:
- Drive efficiency and optimisation in supply chain and logistics using advanced analytics.
- Identify trends, patterns, and opportunities for improvement through insight-driven analysis.
- Work closely with data engineers and cross-functional teams to build and evolve a common data model for your domain.
- Develop and implement strategies across inventory, procurement, distribution, and operations.
- Design intuitive dashboards and reports to translate complex data into actionable insight for stakeholders.
- Lead key data and analytics projects, mentor and support more junior members of the team.
- Identification of improvements in core business processes to deliver on our KPIs.
- Stay ahead of industry trends, tools, and techniques to keep Ocado at the forefront of innovation.
What we’re looking for:
- Strong experience as an Analyst in a big data or complex operational environment.
- Expertise in SQL and familiarity with Excel, VBA, Python, R, or similar languages.
- Exposure to dbt or modern data transformation frameworks highly desirable.
- Proven ability to solve quantitative and qualitative problems with creativity and rigour.
- Excellent communication skills—you can turn complex data into compelling stories that influence decision-making.
- A collaborative mindset and experience working across multidisciplinary teams.
What you can expect to receive in return:
- Flexible Work: Enjoy 30 days of 'work from anywhere' policy for a balanced life.
- Wellbeing Support: Access dedicated apps and an Employee Assistance Programme for holistic well-being.
- Generous Leave: Begin with 25 days, growing to 27 after 5 years, with an option to buy more.
- Pension Plan: Secure your future with our pension scheme, featuring up to 7% employer contribution matching.
- Private Medical Cover: Rest easy with comprehensive private medical insurance.
- Family-Friendly: We support your family with maternity, adoption, shared parental leave, and paternity leave.
- Financial Aid: Get interest-free train tickets and join our Cycle to Work Scheme.
- Shuttle Services: Convenient free shuttle buses connect you to work.
- Share Schemes: Join exciting share plans to participate in our success.
- Shopping Perks: Enjoy a 15% discount on Ocado.com and savings at popular retailers and restaurants.
- Financial Protection: We offer Income Protection and Life Insurance for financial security.
We are committed to equality, diversity and inclusion and welcome applications from all suitably qualified candidates. We do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. We are happy to discuss reasonable adjustments to support you through the recruitment process.
We are proud to be a Disability Confident employer, prioritising inclusivity and equal opportunities for all individuals, ensuring a supportive and accessible workplace for people with disabilities. So, whatever your background or story, you’ll find a home at Ocado Logistics.
Senior Analyst in Hatfield employer: Ocado Group
At Ocado Logistics, we pride ourselves on being an exceptional employer, offering a vibrant work culture where every team member plays a crucial role in delivering outstanding customer experiences. With flexible part-time hours, competitive pay including paid breaks, and a comprehensive benefits package tailored to your lifestyle, we ensure that our employees feel valued and supported. Join us in Luton, where you'll enjoy a friendly atmosphere, opportunities for personal growth, and the chance to make a real difference in people's lives every day.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst in Hatfield
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ocado Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analyst at Ocado Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ocado Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analyst at Ocado Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analyst in Hatfield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ocado Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ocado Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ocado Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ocado Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
