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
Skills Required
- Strong mathematical and statistical knowledge (probability, inference, regression, experimental design)
- Exposure to advanced analytical and/or machine learning methods through study, research or practical experience
- Strong analytical problem-solving skills and structured thinking with curiosity for ambiguous questions
- Clear communication skills to explain analytical approaches and findings to non-technical audiences
- Experience using at least one data-focused programming or analytical language (Python, R, SQL, PySpark or similar)
What We Do
At M&S, we're dedicated to being the most trusted retailer, prioritising quality and delivering value. Every day, we bring the magic of M&S to our customers, whenever, wherever and however they want to shop with us. For over a century, we've set the standard, doing the right thing and embracing innovation. Today, with over 65,000 colleagues serving 32 million customers globally, we're putting quality products at the heart of everything we do. Tomorrow holds boundless opportunities with us. We're pioneering digital innovation and shaping the future of retail where our values drive every action. We stay close to customers and colleagues, always curious and connected. Our decisions are bold, our actions ambitious. Transparency is paramount, with straightforward, honest communication. We're constantly innovating, always striving for the best. Our focus is on aiming higher and winning together, combined with wise financial decisions to secure our future. Join us at M&S to shape the future of retail.
