At a Glance
- Tasks: Analyse data to optimise last-mile delivery and create insightful reports.
- Company: Leading global e-commerce company based in Greater London.
- Benefits: Dynamic work environment with opportunities for professional growth.
- Why this job: Make a real impact on delivery capabilities across Europe.
- Qualifications: Experience with data visualisation tools, SQL, and strong analytical skills.
- Other info: Collaborate with cross-functional teams in an innovative setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading global e-commerce company in Greater London is seeking a Business Intelligence Engineer. In this role, you will analyze and interpret data to optimize last-mile delivery capabilities across Europe. You will be responsible for creating reports, building data automation tools, and collaborating with cross-functional teams.
The ideal candidate has experience with data visualization tools, SQL, and analytical skills to innovate on behalf of customers. This position promises a dynamic work environment and professional growth opportunities.
BI Engineer: Capacity & Insight to Scale Last-Mile Europe employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Engineer: Capacity & Insight to Scale Last-Mile Europe
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects or any automation tools you've built. This will help you stand out and demonstrate your analytical prowess.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and data analysis techniques. We recommend practising common BI scenarios and thinking about how you can optimise last-mile delivery with your insights.
✨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 about their job search!
We think you need these skills to ace BI Engineer: Capacity & Insight to Scale Last-Mile Europe
Some tips for your application 🫡
Show Off Your Data Skills: When you're writing your application, make sure to highlight your experience with data visualisation tools and SQL. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your analytical skills can help optimise last-mile delivery capabilities. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the BI Engineer role. Remember, less is often more!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Amazon
✨Know Your Data Tools
Make sure you brush up on your knowledge of data visualisation tools and SQL. Be ready to discuss specific projects where you've used these skills to drive insights or improve processes. This will show that you can hit the ground running.
✨Understand Last-Mile Delivery
Familiarise yourself with the challenges and innovations in last-mile delivery, especially in Europe. Being able to discuss current trends and how they impact the e-commerce landscape will demonstrate your genuine interest in the role and the company.
✨Prepare for Collaboration Questions
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve navigated different perspectives to achieve a common goal.
✨Showcase Your Analytical Mindset
Be prepared to tackle some analytical questions during the interview. Practice explaining your thought process when analysing data and making decisions based on your findings. This will help illustrate your problem-solving abilities and innovative thinking.