At a Glance
- Tasks: Analyse market data to boost trading performance and lead forecasting efforts.
- Company: International fashion retailer with a focus on teamwork and collaboration.
- Benefits: Employee discounts, personal development opportunities, and a supportive work environment.
- Why this job: Join a dynamic team and make a real impact in the fashion industry.
- Qualifications: Experience in retail or e-commerce and strong analytical skills in Excel and Power BI.
- Other info: Collaborative office culture with opportunities for growth and development.
The predicted salary is between 36000 - 60000 £ per year.
An international fashion retailer is seeking a Mid-Senior Market Analyst to support the trading performance in Germany. This role requires experience in retail or e-commerce, along with strong analytical skills in Excel and Power BI.
You will collaborate with multiple teams to drive performance insights and trading actions, while also leading forecasting efforts.
The position includes employee benefits like discounts and personal development opportunities, emphasizing teamwork and in-office collaboration.
Germany Regional Trade Manager – Data-Driven Growth in London employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Germany Regional Trade Manager – Data-Driven Growth in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in retail or e-commerce. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your analytical skills! Prepare a portfolio showcasing your work with Excel and Power BI. This will not only impress potential employers but also give you confidence during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to trading performance and teamwork. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Germany Regional Trade Manager – Data-Driven Growth in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in retail or e-commerce. We want to see how your skills align with the role, so don’t be shy about showcasing your analytical prowess in Excel and Power BI!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how you can contribute to our team. Remember, we love teamwork, so mention any collaborative projects you've been part of.
Showcase Your Analytical Skills: Since this role is all about data-driven growth, make sure to include specific examples of how you've used data to drive performance insights in your previous roles. We’re keen to see your analytical mindset in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at ASOS.com
✨Know Your Numbers
Make sure you brush up on your analytical skills, especially in Excel and Power BI. Be ready to discuss specific examples of how you've used data to drive trading performance in previous roles. This will show that you can hit the ground running.
✨Team Player Mindset
Since this role involves collaboration with multiple teams, be prepared to share experiences where teamwork led to successful outcomes. Highlight your ability to communicate effectively and work towards common goals.
✨Understand the Market
Research the current trends in the German retail and e-commerce landscape. Being able to discuss recent developments or challenges in the market will demonstrate your genuine interest and understanding of the industry.
✨Forecasting Focus
As you'll be leading forecasting efforts, think about how you approach predictions and what tools or methodologies you use. Be ready to explain your thought process and any successful forecasting strategies you've implemented in the past.