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- Tasks: Manage merchandise strategy and maximise online sales through analytics.
- Company: Leading ecommerce company in the UK with a dynamic team.
- Benefits: Competitive salary, career growth, and collaborative work environment.
- Why this job: Join an engaging team and make a real impact in ecommerce trading.
- Qualifications: Bachelor's degree in Business or Marketing, strong analytical and communication skills.
- Other info: Exciting opportunities for personal and professional development.
The predicted salary is between 36000 - 60000 £ per year.
A leading ecommerce company in the UK is looking for a dynamic individual to manage their merchandise strategy and maximize online sales. The successful candidate will collaborate with various teams and leverage website analytics to drive performance.
A Bachelor's degree in Business or Marketing is required, along with strong analytical and communication skills.
Join this engaging team for a fulfilling career in ecommerce trading.
E-Commerce Trading & Analytics Specialist in London employer: CVUK
Contact Detail:
CVUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land E-Commerce Trading & Analytics Specialist in London
✨Tip Number 1
Network like a pro! Reach out to people in the e-commerce space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your analytical skills! Prepare some examples of how you've used data to drive decisions in past roles. This will help you stand out as someone who can leverage website analytics effectively.
✨Tip Number 3
Tailor your approach! When you apply through our website, make sure to highlight your experience in merchandise strategy and online sales. Customising your application shows you're genuinely interested in the role.
✨Tip Number 4
Practice makes perfect! Get ready for interviews by rehearsing common questions related to e-commerce trading. The more comfortable you are, the better you'll perform when it counts!
We think you need these skills to ace E-Commerce Trading & Analytics Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the E-Commerce Trading & Analytics Specialist role. Highlight any relevant experience in merchandise strategy or online sales to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about ecommerce and how your background in Business or Marketing makes you a perfect fit for our team.
Show Off Your Analytical Skills: Since this role involves leveraging website analytics, don’t forget to mention any tools or methods you’ve used to analyse data. We love seeing how you can drive performance through insights!
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’re considered for this exciting opportunity in our dynamic team!
How to prepare for a job interview at CVUK
✨Know Your Numbers
As an E-Commerce Trading & Analytics Specialist, you'll need to demonstrate your analytical skills. Brush up on key metrics related to online sales and website performance. Be ready to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Collaboration Skills
This role involves working with various teams, so highlight your experience in cross-functional collaboration. Prepare examples of how you've successfully worked with marketing, sales, or IT teams to achieve common goals.
✨Understand the Merchandise Strategy
Familiarise yourself with the company's merchandise strategy and be prepared to discuss how you would approach it. Think about how you can maximise online sales through effective product placement and promotions.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions that show your interest in the company and the role. Ask about their current challenges in e-commerce trading or how they measure success in their analytics efforts.
