At a Glance
- Tasks: Transform data into actionable insights for M&S Food's customer experience.
- Company: Join M&S, a leading retailer committed to innovation and inclusivity.
- Benefits: Enjoy discounts, competitive holidays, bonuses, and 24/7 wellbeing support.
- Other info: Be part of a diverse team shaping the future of retail.
- Why this job: Make a real impact by driving customer-led decisions with data.
- Qualifications: Strong analytical skills, experience with SQL, and a passion for data.
The predicted salary is between 40000 - 50000 £ per year.
Description
At M&S Food, customer insight helps us understand how shopping behaviour is changing and where the biggest opportunities are for the business.
As Senior Analyst, you’ll be a key member of the Customer Insight team, working closely with the Lead Analyst and wider insight specialists to turn data into clear, commercial recommendations.
You’ll use our customer and transactional data, advanced analytics and our Azure data platform to support analytical projects, build data products and help teams understand performance, opportunity and stretch.
We’re looking for someone who is passionate about data, curious in their approach and confident building relationships across M&S.
Due to high interest, this role may close earlier than advertised. We recommend applying as soon as possible.
What you’ll do
Your key accountabilities will include
- Support analytics projects that deliver accurate, actionable insight for the Food business in a fast-paced retail environment.
- Use customer and transactional data to help explain performance, see opportunities and support better customer-led decisions.
- Maintain and support core analytical benchmarks and reporting, including reports that use Power BI.
- Apply statistical and analytical techniques, such as regression and clustering, to deliver robust commercial analysis.
- Create clear, visual and engaging insight outputs, with a focus on automation and self-serve where it makes valuable contributions.
Who you are
Your skills and experience will include
- Strong statistical and analytical background, with experience working with large datasets and a range of models.
- Confident using SQL, with experience in Python, R or similar programming and statistical tools preferred.
- Naturally curious and data-driven, with the confidence to explore business problems and spot new opportunities.
- Strong communication and storytelling skills, able to turn analysis into clear insight for different audiences.
- Organised, proactive and collaborative, with the ability to manage multiple projects and build strong partner relationships.
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 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 if the role requires 3 days working on site
- #LI-SR2
- #LI-Hybrid
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Marks & Spencer!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Customer Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Marks & Spencer, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Marks & Spencer
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Marks & Spencer’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
