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- Tasks: Analyse data to drive merchandising decisions and support seasonal planning.
- Company: Global footwear brand with a rich heritage and craftsmanship.
- Benefits: Excellent training, career progression, and a dynamic work environment.
- Why this job: Join a passionate team and make an impact in the fashion industry.
- Qualifications: Advanced analytical skills and proficiency in Excel, VBA, SQL, and Power BI.
- Other info: Opportunity to grow your career in a supportive and innovative company.
The predicted salary is between 28800 - 48000 £ per year.
A global footwear brand is seeking a Data Analyst for their Merchandising team in Street, Somerset. The role involves producing and maintaining tools for merchandising, delivering insights on key performance metrics, and supporting seasonal planning.
Candidates should have advanced analytical skills and excellent IT proficiency, including Excel, VBA, SQL, and Power BI.
Join this brand with rich heritage and craftsmanship at its core, offering excellent training and career progression.
Merchandising Data Analyst & Insights Specialist in Street employer: Clarks
Contact Detail:
Clarks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Merchandising Data Analyst & Insights Specialist in Street
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the brand 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 showcasing 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 comfortable with common interview questions for data analysts. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Merchandising Data Analyst & Insights Specialist in Street
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your advanced analytical skills in your application. We want to see how you’ve used tools like Excel, VBA, SQL, and Power BI in your previous roles. Don’t just list them; give us examples of how you’ve delivered insights that made a difference!
Tailor Your Application: Take the time to tailor your CV and cover letter to the Merchandising Data Analyst role. We love seeing candidates who understand our brand and can connect their experience to what we’re looking for. It shows us you’re genuinely interested in joining our team!
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate well-structured applications that get straight to the point. Use bullet points where necessary to make it easy for us to read through your qualifications and experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our brand and what we stand for.
How to prepare for a job interview at Clarks
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, VBA, SQL, and Power BI. Be ready to discuss how you've used these tools in past roles, and maybe even prepare a mini case study or example of how you’ve derived insights from data.
✨Understand the Brand
Do your homework on the global footwear brand. Familiarise yourself with their heritage, craftsmanship, and current market position. This will not only help you answer questions but also show your genuine interest in the company.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your analytical thinking and problem-solving skills. Think about past experiences where you had to analyse data to make decisions or support seasonal planning, and be ready to share those stories.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to convey complex insights clearly. Practice explaining your analytical processes and findings in simple terms. This will demonstrate your ability to communicate effectively with non-technical team members.
