At a Glance
- Tasks: Develop analytical solutions to support property insights and inform strategic planning.
- Company: Join M&S, a dynamic and inclusive retail leader transforming the industry.
- Benefits: Enjoy a 20% discount, competitive holidays, bonuses, and wellbeing support.
- Other info: Be part of a diverse team driving innovation in retail.
- Why this job: Make a real impact with your analytical skills in a forward-thinking environment.
- Qualifications: 2+ years in advanced analytics, SQL, and experience with data visualisation tools.
The predicted salary is between 40000 - 50000 £ per year.
What You’ll do
- Develop and deliver analytical solutions that support the Property insight strategy and help inform the Estate Rotation and Modernisation plan.
- Translate senior stakeholder requirements into a clear pipeline of analysis, modelling, MI and controls reporting activity.
- Build practical, interpretable descriptive and predictive models that help answer complex Property and Location Planning questions.
- Create compelling narratives from robust analysis, moving confidently from the detail of the “what” to the commercial “so what”.
- Provide guidance and analytical support to Data Analyst and Data Manager colleagues, while sharing knowledge and best practice across M&S.
Who you are
- You have at least two years’ practical experience in an advanced analytical role, with a track record of solving business problems through analysis and innovative thinking.
- You are highly numerate and technically confident, with experience in SQL, complex data mining, dataset modelling and at least one programming language such as Python, R or Java.
- You can turn complex analysis into clear stories and visual outputs using tools such as Power BI, Tableau, Spotfire or advanced Excel.
- You build trusted stakeholder relationships through open communication, ownership and accountability, and are comfortable presenting to senior audiences.
- You are curious, methodical and creative in improving ways of working; experience in spatial analytics, location planning, retail, consulting or business analysis would be an advantage.
What's in it for you
- 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.
Senior Data Analyst employer: Marks & Spencer
Marks & Spencer is an exceptional employer that prioritises inclusivity and employee growth, making it a fantastic place for those looking to thrive in the retail sector. With flexible working hours and a commitment to personal development, employees are encouraged to take ownership of their roles while contributing to a dynamic and supportive work culture. Join us in shaping a greener, more inspiring future in retail, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst at Marks & Spencer.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Marks & Spencer.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Marks & Spencer, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Marks & Spencer. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Marks & Spencer
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Marks & Spencer!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
