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- Tasks: Analyse data to support sales and buying teams with valuable insights.
- Company: Leading UK food wholesaler with a focus on innovation.
- Benefits: Attractive salary, hybrid work model, and great perks.
- Why this job: Join a passionate team and make an impact in the food retail industry.
- Qualifications: Strong analytical skills and experience with Excel and Power BI.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 30000 - 40000 £ per year.
A leading food wholesaler in the UK seeks a Commercial & Category Analyst to support sales and buying teams with data-driven insights. The role requires strong analytical skills and experience with Excel and Power BI, focusing on category analysis and commercial performance. This position offers a hybrid work model and an attractive salary with benefits, appealing to candidates passionate about food and insights in retail.
Data-Driven Commercial & Category Analyst (Hybrid) in Theale employer: Cotswold Fayre | B Corp
Contact Detail:
Cotswold Fayre | B Corp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Commercial & Category Analyst (Hybrid) in Theale
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in food wholesaling or analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! If you’ve got experience with Excel and Power BI, create a mini-project or dashboard that showcases your analytical prowess. Bring it along to interviews to impress the hiring team.
✨Tip Number 3
Prepare for the interview by diving deep into the company’s products and market position. Understanding their category performance will help you provide valuable insights during discussions.
✨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 are proactive and engaged with our platform.
We think you need these skills to ace Data-Driven Commercial & Category Analyst (Hybrid) in Theale
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with Excel and Power BI. We want to see how your background aligns with the role of a Commercial & Category Analyst, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about food and insights in retail. We love candidates who can connect their personal interests with the role, so let your enthusiasm come through!
Showcase Your Data Skills: Since this role is all about data-driven insights, make sure to mention any specific examples where you've used data analysis to drive decisions. We’re looking for candidates who can demonstrate their ability to turn numbers into actionable 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 the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Cotswold Fayre | B Corp
✨Know Your Data Tools
Make sure you brush up on your Excel and Power BI skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in relation to category analysis and commercial performance.
✨Understand the Food Industry
Familiarise yourself with current trends in the food wholesale sector. Being able to discuss recent developments or challenges in the industry will show your passion and understanding of the market.
✨Prepare Insightful Questions
Think of questions that demonstrate your analytical mindset. Ask about how the company uses data to drive decisions or what metrics they consider most important for success in this role.
✨Showcase Your Problem-Solving Skills
Be prepared to share examples of how you've tackled complex problems using data insights. Highlight specific situations where your analysis led to improved commercial outcomes or category performance.