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- Tasks: Analyse data to optimise supply chain processes and improve efficiency.
- Company: Leading toy manufacturer with a focus on innovation and creativity.
- Benefits: Hybrid work, family care leave, and a bonus scheme.
- Why this job: Join a fun industry and make a real impact on supply chain optimisation.
- Qualifications: Background in Supply Chain Management and experience with Power BI and SQL.
The predicted salary is between 28800 - 48000 £ per year.
A leading toy manufacturer is seeking a candidate for a data analysis role focused on supply chain optimization in London. The ideal candidate should have a background in Supply Chain Management or related fields, with hands-on experience in data analytics tools like Power BI and SQL, and strong analytical skills. This opportunity offers hybrid work arrangements and various benefits, including family care leave and a bonus scheme.
London-Based Supply Chain Analyst – Data Insights employer: the LEGO Group
Contact Detail:
the LEGO Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London-Based Supply Chain Analyst – Data Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the supply chain field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even a referral for that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analytics and supply chain management. We should also be ready to showcase our experience with tools like Power BI and SQL, as they’re key for this role.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express our appreciation and reiterate our interest in the position. It keeps us fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace London-Based Supply Chain Analyst – Data Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Supply Chain Management and data analytics. Use keywords from the job description to show we’re on the same page!
Show Off Your Skills: Don’t just list your skills; give examples of how you’ve used tools like Power BI and SQL in past roles. We love seeing real-world applications of your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about supply chain optimisation and how you can contribute to our team. Keep it engaging and personal.
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 don’t miss out on any important updates!
How to prepare for a job interview at the LEGO Group
✨Know Your Data Tools
Make sure you brush up on your skills with Power BI and SQL before the interview. Be ready to discuss specific projects where you've used these tools to optimise supply chains or analyse data. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Understand Supply Chain Dynamics
Familiarise yourself with the latest trends and challenges in supply chain management, especially in the toy industry. Being able to discuss how data insights can drive efficiency and innovation will impress your interviewers and demonstrate your passion for the field.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical supply chain problems using data analysis. Practice articulating your thought process clearly and logically. This will help you showcase your analytical skills and problem-solving abilities effectively.
✨Showcase Your Soft Skills
While technical skills are crucial, don't forget to highlight your communication and teamwork abilities. Since this role involves collaboration, be prepared to share examples of how you've worked with others to achieve common goals, especially in a hybrid work environment.
