Data Analyst

Data Analyst

London Full-Time 28800 - 48000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Create engaging Power BI reports and support data-driven decision-making.
  • Company: Join M&S, a dynamic and inclusive retail leader committed to quality and service.
  • Benefits: Enjoy 20% discount, flexible holidays, bonuses, and wellbeing support.
  • Why this job: Be part of a transformative team shaping the future of analytics in retail.
  • Qualifications: Curiosity, eagerness to learn, teamwork, attention to detail, and Power BI skills required.
  • Other info: M&S values diversity and offers support throughout the recruitment process.

The predicted salary is between 28800 - 48000 ÂŁ per year.

Summary
We are looking for a hardworking and driven Data Analyst to join our dynamic Analytics team. If you\’re passionate about innovative analytical thinking and believe in the power of data to drive business success, we want to hear from you!
In this role, you will support the delivery of impactful Power BI solutions, turning complex data into meaningful insights that inform decision-making and fuel business growth. You’ll collaborate closely with stakeholders across the organization, championing a data-driven culture and helping shape the future of analytics within the business.

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.

What you\’ll do

  • Build clear, engaging Power BI reports and dashboards that help teams see what’s really going on.
  • Team up with senior analysts to design scalable data models that make everyone’s lives easier.
  • Jump in on ad hoc analysis—whether it’s answering quick questions or digging into something deeper.
  • Be the go-to for day-to-day reporting support, helping business teams get the data they need, when they need it.
  • Collaborate across teams to bring a data-driven mentality into conversations and decisions

Who you are

  • Curious Mindset – Asking “Why ?” is your favourite question
  • Eager to Learn – You’re open and passionate about learning new tools and techniques to continual expand your knowledge
  • Team Player – You love to collaborate; sharing ideas, jump in to help out or learn from others.
  • Detail Oriented – You have an eye for accuracy, double checking all your work making sure it all adds up
  • Power BI Know How – You have a good grasp of Power BI, having built a few reports, played around with DAX and data visualisations.

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.

#LI-Hybrid #LI-HB1

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Data Analyst employer: Marks & Spencer Plc

Marks & Spencer is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. As a Data Analyst, you will benefit from competitive perks such as a generous colleague discount, comprehensive training programmes, and industry-leading parental policies, all while contributing to a company that values your growth and well-being. Join us in shaping the future of retail with meaningful insights and impactful analytics in a supportive environment that champions diversity and teamwork.
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Contact Detail:

Marks & Spencer Plc Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Familiarise yourself with Power BI and its features. Since the role heavily involves building reports and dashboards, showcasing your ability to create engaging visualisations will set you apart from other candidates.

✨Tip Number 2

Network with current or former employees of M&S, especially those in analytics roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.

✨Tip Number 3

Prepare to discuss real-world examples of how you've used data to drive decision-making. Being able to articulate your analytical thinking and problem-solving skills will demonstrate your fit for the role.

✨Tip Number 4

Show your eagerness to learn by researching the latest trends in data analytics and Power BI. Mentioning recent developments or tools during your conversations can highlight your passion and commitment to continuous improvement.

We think you need these skills to ace Data Analyst

Power BI
DAX
Data Visualisation
Analytical Thinking
Attention to Detail
Collaboration Skills
Problem-Solving Skills
Curiosity
Communication Skills
Data Modelling
Ad Hoc Analysis
Reporting Skills
Stakeholder Engagement
Learning Agility

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your proficiency in Power BI, DAX, and any analytical projects you've worked on.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of how it drives business success. Mention specific examples of how you've used data to inform decisions in previous roles.

Showcase Your Analytical Skills: In your application, provide examples of your analytical thinking. Discuss any complex data problems you've solved and how your insights led to impactful outcomes.

Highlight Collaboration Experience: Since the role involves working closely with stakeholders, mention any past experiences where you collaborated with teams to achieve common goals. This will demonstrate your ability to work as part of a team.

How to prepare for a job interview at Marks & Spencer Plc

✨Showcase Your Power BI Skills

Make sure to highlight your experience with Power BI during the interview. Bring examples of reports or dashboards you've created, and be prepared to discuss the DAX functions you've used and how they contributed to data visualisation.

✨Demonstrate Your Curiosity

Emphasise your curious mindset by asking insightful questions about the company's data practices. This shows that you're not just interested in the role but also in how you can contribute to a data-driven culture.

✨Prepare for Collaborative Scenarios

Since teamwork is crucial for this role, think of examples where you've successfully collaborated with others on data projects. Be ready to discuss how you handle feedback and share ideas with team members.

✨Be Detail-Oriented

Highlight your attention to detail by discussing how you ensure accuracy in your work. You might want to mention specific methods you use to double-check your analyses and reports before presenting them.

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