At a Glance
- Tasks: Enhance category performance and build strong supplier relationships.
- Company: Leading technology retailer with a focus on innovation.
- Benefits: 25 days annual leave, life assurance, and hybrid working options.
- Why this job: Join a supportive environment for career development and personal growth.
- Qualifications: Merchandising experience, strong analytical skills, and knowledge of planning systems.
- Other info: Exciting opportunity to make an impact in the tech retail industry.
The predicted salary is between 28800 - 42000 £ per year.
A leading technology retailer is seeking an Assistant Category Merchandiser in London to enhance category performance and work closely with suppliers.
Responsibilities include:
- Developing relationships
- Reviewing sales forecasts
- Achieving KPIs
Candidates should have:
- Merchandising experience
- Strong analytical skills
- Knowledge of planning systems
The role offers 25 days of annual leave, life assurance, and hybrid working options, providing a supportive environment for career development and personal growth.
Hybrid Assistant Category Merchandiser (Computing) employer: Dixons Carphone
Contact Detail:
Dixons Carphone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Assistant Category Merchandiser (Computing)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for the interview by knowing your stuff! Research the company’s products and recent news. This shows you’re genuinely interested and ready to contribute to enhancing category performance.
✨Tip Number 3
Show off your analytical skills! Be ready to discuss how you've used data to drive decisions in past roles. Use specific examples to demonstrate your ability to review sales forecasts and achieve KPIs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Hybrid Assistant Category Merchandiser (Computing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your merchandising experience and analytical skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about category merchandising and how you can contribute to enhancing performance. Keep it engaging and personal.
Showcase Your Knowledge: Mention any experience you have with planning systems or sales forecasting. We love candidates who can demonstrate their understanding of the industry and how they can help us achieve our KPIs.
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!
How to prepare for a job interview at Dixons Carphone
✨Know Your Merchandising Stuff
Make sure you brush up on your merchandising experience. Be ready to discuss specific examples of how you've enhanced category performance in the past. This will show that you understand the role and can hit the ground running.
✨Get Familiar with Sales Forecasts
Since reviewing sales forecasts is a key responsibility, take some time to understand how they work. Prepare to talk about any tools or systems you've used in the past, and think about how you would approach forecasting for the computing category.
✨Build Relationships in Your Mind
Think about how you would develop relationships with suppliers. Have a few strategies in mind that demonstrate your ability to communicate effectively and build rapport. This will highlight your interpersonal skills, which are crucial for this role.
✨Show Off Your Analytical Skills
Be prepared to showcase your strong analytical skills. Bring examples of how you've used data to make decisions or improve performance. This could be anything from analysing sales trends to adjusting inventory based on customer behaviour.