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- Tasks: Analyse customer data to drive insights and improve engagement for Sparks loyalty programme.
- Company: Join M&S, a dynamic and inclusive company transforming the shopping experience.
- Benefits: Enjoy a 20% discount, competitive holidays, and tailored training programmes.
- Why this job: Be part of a team innovating in data and digital to enhance customer experiences.
- Qualifications: Strong analytical skills with experience in SQL, Python, and data visualisation tools.
- Other info: Collaborative environment with opportunities for personal growth and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
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.
Summary
We’re seeking a skilled Analyst to join our team, with strong technical and statistical abilities and a dedication to problem-solving. This role offers a chance to explore the full scope of M&S within a high-performing, cross-disciplinary team.
All the details
There has never been a more exciting time to join our digital and data team. We are at the start of a journey that will fundamentally change our business, and how our customers shop with us both today – and in the future. We are bringing together experts in data, personalisation, data science, loyalty, digital products, customer and user experience, and technology, to make sure we are continually experimenting, innovating, being bold and challenging ourselves. All with one goal in mind – to provide the best possible customer experience on the high street, however our customers choose to shop with us.
To help us reach our goal, we’re looking for super talented people who will help put digital and data at the heart of everything we do, so that we keep living and breathing it every day. In return, we offer fantastic learning opportunities, clear career pathways and the freedom to innovate, explore, be curious and think differently.
To stay close to customers, our support teams are in the office 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.
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, and service to every customer, whenever, wherever, and however they want to shop with us.
- 20% colleague discount across all M&S products and many third-party brands (for you and a member of your household)
- Competitive holiday entitlement with the option to buy extra days
- Discretionary bonus schemes
- Defined Contribution Pension Scheme and Life Assurance
- Tailored induction and training programmes
- Perks and discounts via our M&S Choices portal
- Industry-leading parental, adoption, and neonatal policies
- 24/7 Virtual GP and wellbeing support
- Charity volunteer day
What you will be doing
- Collaborate Across Teams: Partner with cross-functional teams to deliver clear, insightful analytics that guide decision-making for Sparks members—looking at both past behaviours and future trends.
- Assess Sparks campaigns' impact on customer engagement, behaviour change, and profitability for storytelling.
- Analyze Sparks members' shopping habits, interactions, and responses to improve customer engagement.
- Support Agile Trading Decisions: Respond quickly to trading questions with fast-paced analysis that delivers actionable insights and supports real-time decision-making.
- Empower Through Automation: Build accessible, interactive dashboards and automated processes that make insights easy to use—freeing up time to explore new opportunities.
Who you are
- You enjoy delving into customer-led analytics and possess a curiosity to investigate data in innovative and valuable ways.
- Strong communication skills with the ability to translate complex findings into clear, commercial recommendations.
- Experience with SQL/PySpark, Python, and Power BI, plus a solid understanding of statistical techniques like forecasting and regression.
- Confidence working with large datasets and a degree in a numerate subject such as Maths, Statistics, Economics, or Computer Science.
- Bonus: Experience with Synapse, Databricks, or APIs is a plus.
We’re disrupting, innovating, and leading the industry into a more conscientious, inspiring digital era. M&S strives to be an inclusive organisation, trusted and admired by our colleagues, customers, and suppliers. Join us and make change happen. We’re committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. If you need support or reasonable adjustments during the recruitment process, please let us know when completing your application.
Analyst - Sparks Loyalty - London, Greater London employer: Marks & Spencer
Contact Detail:
Marks & Spencer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst - Sparks Loyalty - London, Greater London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at M&S on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common questions related to analytics and problem-solving. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Show off your analytical skills during the interview! Bring examples of past projects or analyses you've done, especially those that had a real impact. This will demonstrate your ability to deliver actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the M&S team.
We think you need these skills to ace Analyst - Sparks Loyalty - London, Greater London
Some tips for your application 🫡
Show Your Unique Self: When you're writing your application, let your individuality shine through! We want to see what makes you, well, you. Share your background and experiences that relate to the Analyst role, and don't be afraid to show us your personality.
Tailor Your Application: Make sure to customise your application for the Analyst position. Highlight your technical skills, especially with SQL, Python, and Power BI, and how they relate to the job description. This shows us you’ve done your homework and are genuinely interested in the role.
Be Clear and Concise: We appreciate clarity! When explaining your experiences or skills, keep it straightforward and to the point. Use bullet points if necessary to make it easy for us to read and understand your key achievements and qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at Marks & Spencer
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any experience with Synapse or Databricks. Showing that you're comfortable with these technologies will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using data analysis. Think about specific situations where your insights led to actionable decisions. This will demonstrate your dedication to problem-solving, which is key for the Analyst role.
✨Understand Customer Engagement
Familiarise yourself with M&S's Sparks loyalty programme and think about how data can enhance customer engagement. Be ready to discuss how you would assess campaign impacts and improve customer interactions based on your analysis.
✨Communicate Clearly
Practice translating complex data findings into simple, commercial recommendations. The ability to communicate insights effectively is crucial, so consider how you would explain your analysis to someone without a technical background during the interview.
