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- Tasks: Support a global fashion brand by managing and reviewing high-volume data in Excel.
- Company: Join a renowned designer and retailer known for its innovative fashion.
- Benefits: Enjoy a temporary role with potential for growth and valuable industry experience.
- Why this job: Be part of a large-scale project that enhances your skills in a dynamic environment.
- Qualifications: Looking for organised, detail-oriented individuals with a passion for fashion.
- Other info: This is a temporary position, perfect for students seeking hands-on experience.
The predicted salary is between 21600 - 36000 £ per year.
We have an exciting temporary opportunity for a Merchandising Assistant with a global designer and retailer! Join a renowned fashion brand and support a large-scale project by overseeing data management in Excel. This role involves reviewing and screening high-volume data, providing invaluable support to a leading retail brand. If you're organised, detail-oriented, and passionate about fashion, this could be the perfect role for you.
Merchandising Administration Assistant employer: Australasian Recruitment Company
Contact Detail:
Australasian Recruitment Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Merchandising Administration Assistant
✨Tip Number 1
Familiarise yourself with Excel functions and data management techniques. Since the role involves overseeing high-volume data, being proficient in Excel will set you apart from other candidates.
✨Tip Number 2
Research the fashion brand's current projects and values. Understanding their mission and recent initiatives can help you tailor your conversation during interviews and show your genuine interest in the company.
✨Tip Number 3
Network with professionals in the fashion retail industry. Attend relevant events or connect with people on LinkedIn to gain insights and potentially get referrals for the position.
✨Tip Number 4
Prepare examples of how you've successfully managed data or completed similar tasks in previous roles. Being able to discuss your experience confidently will demonstrate your capability for the Merchandising Administration Assistant role.
We think you need these skills to ace Merchandising Administration Assistant
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and skills required for the Merchandising Administration Assistant position. Tailor your application to highlight your relevant experience in data management and organisation.
Highlight Relevant Skills: Emphasise your proficiency in Excel and any experience you have with data management. Provide specific examples of how you've successfully handled high-volume data in previous roles or projects.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for fashion and your attention to detail. Explain why you're interested in working for this global designer and how your skills align with their needs.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your professionalism and attention to detail, which is crucial for this role.
How to prepare for a job interview at Australasian Recruitment Company
✨Show Your Excel Skills
Since the role involves overseeing data management in Excel, be prepared to discuss your proficiency with the software. Bring examples of how you've used Excel in previous roles, especially for data analysis or management.
✨Highlight Your Organisational Skills
This position requires a detail-oriented and organised individual. Be ready to share specific instances where your organisational skills made a difference in your work, particularly in managing high-volume data.
✨Demonstrate Your Passion for Fashion
As you're applying to a renowned fashion brand, express your enthusiasm for the industry. Share any relevant experiences or insights that showcase your passion for fashion and retail.
✨Prepare for Data Screening Questions
Expect questions related to data screening and management. Brush up on best practices for reviewing data accuracy and integrity, and be ready to explain your approach to handling large datasets.
