Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive performance measurement and innovation in Fulfillment Center Operations through data insights.
- Company: Join Amazon, a global leader in e-commerce, dedicated to enhancing customer experiences.
- Benefits: Enjoy flexible work locations, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact by optimising fulfilment processes and enhancing customer satisfaction.
- Qualifications: Experience with data analysis, SQL, and visualisation tools like Tableau or QuickSight required.
- Other info: Open to candidates in Luxembourg, Barcelona, and the UK.
The predicted salary is between 36000 - 60000 £ per year.
Job ID: 2895354 | Amazon Business EU Sarl
Are you seeking a high-impact role with direct exposure to senior leadership? The EU-NFT team is looking for a customer-focused Business Intelligence Engineer with strong analytical and technical expertise to drive performance measurement, innovation, and execution within Fulfillment Center Operations. This role plays a critical part in optimizing Amazon’s fulfillment network—enhancing the customer experience through faster delivery promises and enabling cost-efficient fulfillment planning and execution. Partnering with Fulfillment Center Operations and data teams, you will develop analytics dashboards, deep-dive tools, and influence product roadmaps using data insights and AWS services.
We are open to hiring candidates to work out of one of the following locations: Luxembourg, Barcelona, and UK
Key job responsibilities
As a Business Intelligence Engineer (BIE I), your responsibilities include:
1. Manage Customer Requests: Collaborate with business partners to gather requirements and deliver data-driven solutions, including dashboards, tools, and scalable pipelines.
2. Design and Implement Solutions: Develop and prioritize technical solutions using robust design principles to address business challenges and innovate data infrastructure.
3. Drive Operational Excellence: Establish and promote best practices for efficient, scalable, and reliable data solutions.
A day in the life
As a Business Intelligence Engineer, you’ll collaborate with Fulfillment Center Operations and data teams to develop scalable data solutions that drive performance. Your day involves:
• Prioritizing customer requests and delivering actionable insights through dashboards and data tools.
• Designing efficient data models and pipelines using SQL, Redshift, and AWS services.
• Building interactive dashboards with QuickSight or Tableau for real-time decision-making.
• Automating workflows and optimizing BI processes using Python, R, or Java.
• Analyzing large datasets to uncover trends, solve complex challenges, and influence leadership decisions.
About the team
The Network Flow and Technologies (NFT) team is responsible for building data solutions that drive operational efficiency and enhance the Amazon customer experience. We work across the supply chain to optimize for the network, while minimizing complexity and reducing variation to ensure streamlined operations and consistent outcomes. By providing comprehensive reporting, insightful attribution, and accurate forecasting, we empower our stakeholders to understand what happened, why it happened, and what will happen next. We own the results, not just the technology. We rigorously audit outputs with metrics and experiments, ensuring accuracy and holding dependencies accountable for input quality.
BASIC QUALIFICATIONS
– Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
– Experience with data visualization using Tableau, Quicksight, or similar tools
– Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
– Experience with scripting language (e.g., Python, Java, or R)
– Experience with SQL
– Experience in the data/BI space
PREFERRED QUALIFICATIONS
– Master\’s degree, or Advanced technical degree
– Knowledge of data modeling and data pipeline design
– Experience with statistical analysis, co-relation analysis
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr
Business Intelligence Engineer, EU NFT employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer, EU NFT
✨Tip Number 1
Familiarise yourself with Amazon's data tools and technologies, especially Redshift and AWS services. Understanding how these platforms work will give you a significant edge during discussions with the interviewers.
✨Tip Number 2
Brush up on your SQL skills and practice creating complex queries. Being able to demonstrate your ability to manipulate and analyse data effectively will be crucial in showcasing your technical expertise.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data visualisation tools like Tableau or QuickSight to drive business decisions. This will help illustrate your practical experience and problem-solving abilities.
✨Tip Number 4
Network with current or former employees in similar roles at Amazon. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the interview process.
We think you need these skills to ace Business Intelligence Engineer, EU NFT
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and qualifications required for the Business Intelligence Engineer position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Technical Skills: Emphasise your experience with data analysis tools such as Redshift, SQL, and data visualisation software like Tableau or QuickSight. Provide specific examples of how you've used these tools in previous roles to solve business challenges.
Showcase Problem-Solving Abilities: In your application, include instances where you've successfully tackled complex problems using data insights. This could involve designing data models, automating workflows, or developing dashboards that influenced decision-making.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role and the company. Mention how your skills can contribute to enhancing Amazon's fulfillment network and improving customer experience.
How to prepare for a job interview at Amazon
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to drive business decisions. Be ready to explain your thought process and the tools you used, such as SQL or Python, to derive insights.
✨Familiarise Yourself with AWS Services
Since the role involves using AWS services, brush up on your knowledge of these tools. Understand how they can be applied in data solutions and be prepared to discuss any relevant experience you have.
✨Demonstrate Your Problem-Solving Abilities
Think of complex challenges you've faced in previous roles and how you approached them. Highlight your ability to design and implement effective solutions, especially in a data-driven context.
✨Prepare Questions for Your Interviewers
Show your interest in the role and the company by preparing thoughtful questions. Ask about the team dynamics, current projects, or how success is measured in the Business Intelligence Engineer role.
