Data Analyst (Decision Science & Experimentation)
- Team
- Digital & Tech
- Store
- London Support Office
- Location
- London, Greater London
- Contract type
- Permanent
- Position type
- Full Time
- Salary
- Competitive + Benefits
- Closing date: 21st August 2026
How We Hire
Everyone is welcome at M&S. No exceptions. It’s your background, abilities and differences that make you, uniquely you. And when you’re part of M&S, that individuality has the potential to make waves.
About the role
This section tells you all you need to know about the position and its responsibilities, outlining everything we hope to see in a successful candidate.
To stay close to our customers and colleagues, our support teams are in the office for at least three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected.
Summary
Producing an analysis is only part of the job; understanding whether it can be trusted, explained and used to support a decision is just as important. Our Advanced Analytics team helps M&S make better decisions by combining commercial insight, decision science and analytical engineering.
As a Data Analyst, you’ll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results.
This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment.
Due to high interest, this role may close earlier than advertised. We recommend applying as soon as possible
As a Data Analyst, you’ll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results.
This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment.
Due to high interest, this role may close earlier than advertised. We recommend applying as soon as possible
All the details
What you’ll do
Your key accountabilities will include
Contribute to analytical work on high-value opportunities, collaborating with experienced analysts, data scientists, product teams and business stakeholders to support better decisions.
Help translate complex or ambiguous business questions into clear analytical objectives, success measures and structured analysis plans.
Prepare, explore and analyse data to understand performance, identify meaningful patterns and drivers, and uncover opportunities to create measurable business value.
Support the design and application of appropriate approaches, including statistical modelling, experimentation and quasi-experimental methods, to test hypotheses, evaluate initiatives and quantify their impact.
Validate analytical outputs and communicate findings, uncertainty and limitations clearly, helping stakeholders understand what the evidence does and does not support.
Who you are
Your skills and experience will include
Strong mathematical and statistical knowledge, including familiarity with probability, statistical inference, regression, experimental design and the interpretation of results.
Exposure to advanced analytical and/or machine learning methods through study, research or practical experience, with an interest in understanding when different approaches are appropriate and what their limitations are.
Strong analytical problem-solving skills, with the curiosity and structured thinking needed to investigate unfamiliar or ambiguous questions using imperfect real-world data.
A clear communicator who can explain analytical approaches and findings to others, with the potential to develop this skill further when working with non-technical audiences.
Experience using at least one data-focused programming or analytical language, such as Python, R, SQL, PySpark or similar.
What's in it for you
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special…
After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
Competitive holiday entitlement with the potential to buy extra holiday days!
Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
A generous Defined Contribution Pension Scheme and Life Assurance.
A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.
Everyone's welcome
We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming 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.
#hybridrole #LI-hybrid #LI-HB1
Meet the Team
Being an in-person business
We're at our best when we're close to customers, and for many of us at M&S, that means working in store every day.
To stay close to customers, our support teams are in the office three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected. It also means we can solve problems as soon as they arise, learn and grow as a team, build trust, and get closer to our colleagues.
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Make Your Mark
Upcoming projects
Take part in our M&S Digital & Tech team days. Grow your digital and data skills through our BEAM Academy. Or challenge yourself at one of our business-wide hackathons. We also partner with Women in Data, Databricks and Cajigo to increase opportunities for women in digital and data.
Opportunities to be heard
Your voice and your ideas matter here. Our 8 colleague networks are places to find support, listen to each other and encourage debate. You can pitch ideas ‘Straight to Stuart’, our CEO, or get involved in our BIG (Business involvement Group).
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Benefits
How to Apply
Here’s what to expect at each stage of the application process. This can change depending on the role you’ve applied to. If you need any reasonable adjustments made at any stage, let us know and we can help.
Send us your application
Fill in our short application form and hit submit.
Online assessment
Depending on the role you are applying for, you may be invited to do an assessment. Your Talent Acquisition Partner will guide and inform you along the way.
Interview
We'll invite you to join us for an interview. This could be remote or in person. Here, we'll ask you some role based technical questions and examine the behaviours we're looking for.
Decision
After we’ve made our decision, we’ll be in touch. If you’ve been successful, we’ll officially invite you to join the team and let you know the next steps.
Data Analyst (Decision Science & Experimentation)
- Team
- Digital & Tech
- Store
- London Support Office
- Location
- London, Greater London
- Contract type
- Permanent
- Position type
- Full Time
- Salary
- Competitive + Benefits
- Closing date: 21st August 2026
- Reference: 118701