Analytics Manager - Distribution

Analytics Manager - Distribution

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
M

At a Glance

  • Tasks: Lead analytics for automated distribution centres, driving insights and optimising operations.
  • Company: Join M&S, a forward-thinking retailer committed to innovation and inclusivity.
  • Benefits: Enjoy a 20% discount, competitive holidays, and tailored training from day one.
  • Other info: Be part of a diverse team that values collaboration and continuous improvement.
  • Why this job: Make a real impact in retail by transforming data into actionable insights.
  • Qualifications: Experience in leading analytics teams and expertise in SQL, Python or R required.

The predicted salary is between 63000 - 77000 £ per year.

Working across Data Science, Data Product, Engineering, and business teams, this role translates commercial priorities into impactful analytical outcomes, influencing decisions through robust insight, innovation, and scalable analytics capabilities. As a key leader within the broader Data & AI function, the role will champion best practice, foster a culture of experimentation and continuous learning, and help accelerate the organisation's analytical maturity.

The ideal candidate will bring proven experience leading high-performing analytics teams, combined with a strong retail or FMCG background and expertise in advanced analytics, statistical modelling, forecasting, and experimentation. Strong technical skills in SQL and tools such as Python or R will be complemented by a track record of delivering analytical solutions that drive measurable business impact. The ability to collaborate across data, product, engineering, and business teams, while translating complex data into clear commercial insights, will be key to success in this role.

NB this role is based at our Distribution centre in Derbyshire but regular travel to our London Support centre will be required.

Your key accountabilities will include:

  • Lead the analytics agenda for highly automated distribution centres and end-to-end logistics operations, using data from warehouse management, warehouse control, automation, transport and labour systems to monitor performance, identify constraints and improve flow, capacity, service, productivity, cost and resilience.
  • Drive advanced analytics solutions by applying statistical modelling, predictive analytics, forecasting, optimisation, and experimentation to solve complex business challenges and unlock commercial value.
  • Partner with operations, engineering, automation vendors and technology teams to define measures, diagnose system and process issues, evaluate changes and ensure insight supports safe, stable and effective operation of robotics, material-handling equipment and other automation technologies.
  • Shape and deliver the advanced analytics roadmap, prioritising initiatives that enhance decision-making, improve operational performance, and support organisational growth.
  • Act as a trusted analytics leader, championing best practices, promoting a test-and-learn culture, and communicating complex insights through compelling data storytelling and visualisation.

Your skills and experience will include:

  • Proven experience leading and developing high-performing analytics teams, creating an environment that fosters innovation, collaboration, and continuous improvement.
  • Strong retail or FMCG expertise, with a deep understanding of commercial and operational drivers and the ability to apply analytics across areas such as material flow planning, labour scheduling, supply chain optimisation, and forecasting.
  • Advanced analytical and technical capability, including statistical modelling, experimentation, forecasting, predictive analytics, and proficiency in SQL and tools such as Python or R to work with large, complex datasets.
  • Track record of delivering high-impact analytics solutions, leading projects from problem definition through to stakeholder adoption and measurable business outcomes.
  • Exceptional stakeholder management and communication skills, with experience working across cross-functional teams and translating complex analytical findings into clear, actionable commercial insights.

What’s in it for you?

Working at M&S means being part of something bigger - helping to deliver quality, value and service to millions of customers every day. We’re inclusive, fast-moving and always evolving, with a strong sense of purpose and a focus on doing the right thing.

Here are just a few of the benefits that make working here even more rewarding:

  • 20% colleague discount on all M&S products and many third-party brands for you and someone in your household, available once you’ve completed your probation.
  • Competitive holiday allowance with the option to buy more.
  • Discretionary bonus schemes linked to your performance and ours.
  • Strong pension and life assurance to help plan for the future.
  • Tailored induction and training to support your development from day one.
  • Exclusive perks and savings through our M&S Choices portal.
  • Market-leading family policies, including parental, adoption and neonatal leave.
  • 24/7 wellbeing support, including virtual GP access and mental health services.
  • One paid volunteer day a year to support a cause that matters to you.

Everyone’s welcome. We are ambitious about the future of retail. We’re reinventing, innovating and leading the industry into a more conscientious, inspiring digital era. We’re redefining how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.

We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.

Analytics Manager - Distribution employer: Marks & Spencer

Marks & Spencer is an exceptional employer that prioritises inclusivity and employee growth, making it a fantastic place for those looking to thrive in the retail sector. With flexible working hours and a commitment to personal development, employees are encouraged to take ownership of their roles while contributing to a dynamic and supportive work culture. Join us in shaping a greener, more inspiring future in retail, where your contributions truly matter.

M

Contact Details:

Marks & Spencer Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Manager - Distribution

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 Marks & Spencer!

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 Analytics Manager - Distribution at Marks & Spencer.

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 Marks & Spencer.

Apply Directly through Our Website

When you find a suitable opening like Analytics Manager - Distribution at Marks & Spencer, 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 Analytics Manager - Distribution

Problem-Solving Skills
Communication Skills
Attention to Detail
SQL
Automation
Python
Data Governance

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 Marks & Spencer, 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 Marks & Spencer. 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 Marks & Spencer

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 Marks & Spencer!

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.