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- Tasks: Support trading performance in Germany through analysis and collaboration across teams.
- Company: Join ASOS, a leading fashion retailer with a vibrant team culture.
- Benefits: Enjoy employee discounts, 25 days leave, private medical care, and personalised learning opportunities.
- Why this job: Make an impact in e-commerce while working with data and innovative marketing strategies.
- Qualifications: Experience in retail or analytics, strong Excel skills, and a flair for interpreting data.
- Other info: Work in a dynamic environment with at least 3 days in the office for better collaboration.
The predicted salary is between 28800 - 48000 £ per year.
Support the Senior Market Manager in delivering Germany’s trading performance: tracking, analysing and responding to market performance, customer behaviour and competitor activity. Use insight & analytics on key KPIs (sales, traffic, conversion, etc) to inform decision-making and trading actions. Collaborate cross-functionally (digital trading, planning, pricing, marketing, insights, finance) to optimise trading performance and customer experience. Provide insight and analytics on a region’s (or multiple markets) sales performance: daily, weekly, monthly reporting, ad-hoc deep dives. Lead forecasting: feed into regional/market sales forecasts. Analyse under-/over-performing markets, KPIs and look for root causes and opportunities. Support execution of marketing campaigns (onsite and offsite), promotions and bespoke market codes. Maintain competitor and market intelligence: monitor local market propositions and trading rhythms, track innovation in e-commerce/retail/fulfilment and their implications for trade. Support Senior Market Manager and Head of Markets in creating and executing mid-long term market strategies. Support in P&L management across gross and profit lines & propositions.
We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That’s why our approach to working together includes spending at least 3 days a week in the office. It’s a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.
About You
- Experience in retail, e-commerce, marketing analytics or trade management roles is essential.
- Strong Excel & PowerPoint skills are a baseline.
- SQL and Power BI (or comparable BI tools) are advantageous.
- Ability to interpret data, extract insight, influence stakeholders, and translate into trading actions.
- Good commercial awareness of fashion retail / online business models / regional market nuance.
- European experience (particularly in the German/ Northern European markets) is preferred but not essential.
- Fluency in another European language (German preferred) is advantageous.
Benefits
- Employee discount (hello ASOS discount!)
- Employee sample sales
- 25 days paid annual leave + an extra celebration day for a special moment
- Private medical care scheme
- Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role.
Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.
Regional Trade Manager - Germany in London employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Regional Trade Manager - Germany in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at ASOS. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by diving deep into ASOS's trading performance and recent campaigns. Show us you know your stuff and can bring valuable insights to the table!
✨Tip Number 3
Practice your data interpretation skills. Be ready to discuss how you've used analytics in past roles to drive trading actions. We love candidates who can turn numbers into narratives!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Regional Trade Manager - Germany in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Regional Trade Manager. Highlight your experience in retail, e-commerce, and analytics, and don’t forget to mention any relevant tools like Excel or SQL that you’ve used.
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 your skills can help us optimise trading performance in Germany. Be specific about your achievements!
Showcase Your Analytical Skills: Since this role involves a lot of data interpretation, make sure to include examples of how you've used analytics to drive decisions in previous roles. We want to see your ability to turn numbers into actionable insights!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at ASOS
✨Know Your Numbers
Make sure you brush up on key performance indicators relevant to the role, like sales, traffic, and conversion rates. Be ready to discuss how you've used data analytics in past roles to drive trading actions and improve performance.
✨Showcase Your Collaboration Skills
This role involves working cross-functionally, so be prepared to share examples of how you've successfully collaborated with teams like marketing, finance, or digital trading. Highlight specific projects where teamwork led to improved outcomes.
✨Understand the Market Landscape
Familiarise yourself with the current trends in the German retail and e-commerce market. Be ready to discuss competitors and any innovative practices you've noticed that could impact trading strategies.
✨Excel at Excel
Since strong Excel skills are a baseline requirement, make sure you're comfortable with data manipulation and analysis. If you have experience with SQL or Power BI, mention it! Prepare to demonstrate your analytical skills during the interview.
