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- Tasks: Analyse data to provide insights that drive merchandising decisions.
- Company: Leading footwear brand with a focus on innovation and collaboration.
- Benefits: Comprehensive training, career growth opportunities, and a supportive team environment.
- Why this job: Join a dynamic team and make an impact in the fashion industry.
- Qualifications: Strong analytical skills and proficiency in Excel, VBA, SQL, and Power BI.
- Other info: Exciting opportunity for personal and professional development in a global brand.
The predicted salary is between 28800 - 48000 £ per year.
A leading footwear company is seeking a Data Analyst to join their Merchandising team in Street, Somerset. This role involves producing and maintaining analytical tools, delivering accurate merchandising insights, and collaborating across functions to support decision-making.
Candidates should have strong analytical abilities and advanced IT skills including Excel, VBA, SQL, and Power BI. The company emphasizes training and career growth within the global brand.
Merchandising Data Analyst: Insights that Drive Action in Chester-le-Street employer: Clarksoutlet
Contact Detail:
Clarksoutlet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Merchandising Data Analyst: Insights that Drive Action in Chester-le-Street
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your analytical projects, especially those involving Excel, SQL, or Power BI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data analysis skills. We can use online resources to simulate real interview questions related to merchandising insights.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Merchandising Data Analyst: Insights that Drive Action in Chester-le-Street
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical abilities in your application. We want to see how you've used data to drive decisions in the past, so share specific examples that showcase your skills with tools like Excel, SQL, or Power BI.
Tailor Your Application: Don’t just send a generic CV and cover letter! We love it when candidates tailor their applications to the role. Mention how your experience aligns with the Merchandising Data Analyst position and why you’re excited about working with us.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary to make your key achievements stand out!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status directly. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Clarksoutlet
✨Know Your Data Tools
Make sure you brush up on your Excel, VBA, SQL, and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your technical prowess and ability to deliver insights.
✨Understand the Brand
Research the footwear company thoroughly. Familiarise yourself with their products, values, and recent news. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role and the brand.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly, as this will showcase your analytical abilities and how you approach decision-making.
✨Showcase Collaboration Skills
Since the role involves working across functions, be prepared to discuss examples of how you've successfully collaborated with others in previous roles. Highlight your communication skills and how they contribute to effective teamwork.
