At a Glance
- Tasks: Analyse data to create store forecasts and optimise scheduling for retail operations.
- Company: Join the iconic Marks & Spencer team with a focus on innovation.
- Benefits: Gain valuable experience in a dynamic environment with potential for career growth.
- Other info: Fixed-term role offering hands-on experience in a leading retail company.
- Why this job: Make a real impact on retail transformation through data-driven insights.
- Qualifications: Strong analytical skills and a passion for retail operations.
The predicted salary is between 30000 - 40000 £ per year.
Marks & Spencer is seeking a Demand & Forecast Analyst to join the Central Store Operations team.
You will develop store resource plans, forecasts, and scheduling models, using data-driven insights to support transformation across retail operations.
You will collaborate with store and central teams, optimise My Schedule configurations, and deliver MI reports for informed decision-making.
This fixed-term secondment runs 12-18 months.
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Strategic Store Demand & Forecast Analyst in London employer: Marks and Spencer
Marks and Spencer is an exceptional employer that fosters a culture of innovation and collaboration, particularly within the Corporate HR technology team. Employees benefit from a supportive environment that prioritises professional growth and development, alongside competitive remuneration and benefits. Working in a dynamic location, you will have the opportunity to lead impactful projects that enhance the colleague experience throughout their journey with the company.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Store Demand & Forecast Analyst in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Marks and Spencer before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Marks and Spencer.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Marks and Spencer.
We think you need these skills to ace Strategic Store Demand & Forecast Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Marks and Spencer, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Marks and Spencer, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Marks and Spencer’s attention and show the tangible impact of your work.
How to prepare for a job interview at Marks and Spencer
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Marks and Spencer.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Marks and Spencer.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Marks and Spencer.
