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For Companies At a Glance
- Tasks: Analyse data to optimise stock levels and support product management.
- Company: Leading fashion retailer in Greater London with a vibrant culture.
- Benefits: Employee discounts, paid leave, and a supportive work environment.
- Why this job: Join a dynamic team and make a real impact in the fashion industry.
- Qualifications: Experience in e-commerce retail and strong analytical skills required.
- Other info: Work at least 3 days a week in the office for collaborative success.
The predicted salary is between 36000 - 60000 £ per year.
A leading fashion retailer in Greater London is seeking a Global Merchandise Category Analyst to support product and stock management. In this role, you will collaborate with various teams to create data-driven intake plans and ensure that stock levels meet customer demand across markets.
Ideal candidates should have prior experience in e-commerce retail, strong analytical skills, and proficiency in Excel. This position requires working at least 3 days a week in the office and offers various employee benefits including discounts and paid leave.
Global Merch Category Analyst: Data-Driven Stock Strategy in London employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Merch Category Analyst: Data-Driven Stock Strategy in London
✨Tip Number 1
Network like a pro! Reach out to people in the fashion retail industry on LinkedIn or at events. A friendly chat can open doors and give you insights that might just land you that Global Merch Category Analyst role.
✨Tip Number 2
Show off your analytical skills! Prepare some examples of how you've used data to drive decisions in past roles. Be ready to discuss these during interviews, as they’ll want to see your thought process in action.
✨Tip Number 3
Practice makes perfect! Get comfortable with Excel and any other tools mentioned in the job description. You could even create a mock project to showcase your skills – it’s a great way to demonstrate your capabilities.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining us. Plus, it gives you a chance to stand out from the crowd!
We think you need these skills to ace Global Merch Category Analyst: Data-Driven Stock Strategy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Global Merch Category Analyst role. Highlight your experience in e-commerce retail and any analytical skills you possess, especially with Excel. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fashion retail and how your data-driven approach can help us manage stock effectively. Keep it engaging and relevant to the job description.
Showcase Your Analytical Skills: Since this role is all about data-driven strategies, make sure to showcase your analytical skills in your application. Include specific examples of how you've used data to inform decisions in previous roles. We love numbers as much as fashion!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at ASOS.com
✨Know Your Numbers
As a Global Merch Category Analyst, you'll be dealing with data all the time. Brush up on your analytical skills and be ready to discuss how you've used data to drive stock strategies in the past. Prepare some examples that showcase your proficiency in Excel and how it has helped you make informed decisions.
✨Understand the Brand
Familiarise yourself with the fashion retailer's brand, values, and target market. This will not only help you answer questions more effectively but also show your genuine interest in the company. Think about how your experience aligns with their mission and how you can contribute to their success.
✨Collaborative Mindset
Since this role involves working with various teams, be prepared to discuss your experience in collaboration. Share specific instances where you worked cross-functionally to achieve a common goal. Highlight your communication skills and how you adapt your approach based on team dynamics.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions. Ask about the company's approach to stock management or how they leverage data in their decision-making processes. This shows you're not just interested in the role, but also in how you can fit into their broader strategy.
