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- Tasks: Analyse supply chain data and create insightful reports to drive business decisions.
- Company: Leading foreign currency specialist with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Bachelor’s degree in a relevant field and proficiency in Excel and data visualisation tools.
- Other info: Collaborative team environment with exciting career advancement opportunities.
The predicted salary is between 28800 - 48000 £ per year.
A leading foreign currency specialist is looking for a Data Analyst to join their team in Peterborough or London. In this hybrid role, you'll gather and analyze supply chain data, create insightful reports, and collaborate with other data analysts.
The ideal candidate will have:
- a strong analytical mindset,
- a Bachelor’s degree in a relevant field,
- proficiency in Excel and data visualization tools.
This position offers an exciting opportunity to impact the business positively.
Data Analyst, Supply Chain - Hybrid (3 days/wk) in Peterborough employer: Travelex
Contact Detail:
Travelex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, Supply Chain - Hybrid (3 days/wk) in Peterborough
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. We should be ready to discuss how we’ve used Excel and data visualisation tools in past projects. Real examples will make us stand out!
✨Tip Number 3
Show our passion for supply chain analytics! During interviews, let’s talk about trends in the industry and how we can contribute to the team’s success. It’ll show we’re not just looking for any job, but this job.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our relevant skills and experiences directly.
We think you need these skills to ace Data Analyst, Supply Chain - Hybrid (3 days/wk) in Peterborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with supply chain data. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Skills: Since proficiency in Excel and data visualisation tools is key, make sure to mention any specific software you’re familiar with. If you’ve created insightful reports before, give us a sneak peek into that experience!
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. Plus, it’s super easy!
How to prepare for a job interview at Travelex
✨Know Your Data Tools
Make sure you brush up on your Excel skills and any data visualisation tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and analytical mindset.
✨Understand Supply Chain Dynamics
Familiarise yourself with key concepts in supply chain management. Being able to speak knowledgeably about how data impacts supply chain efficiency will impress your interviewers and demonstrate your genuine interest in the role.
✨Prepare Insightful Questions
Think of some thoughtful questions to ask about the team and the company’s data strategy. This not only shows your enthusiasm for the position but also helps you gauge if the company is the right fit for you.
✨Showcase Your Analytical Mindset
Be prepared to share specific examples of how you've tackled data analysis challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
