Are you seeking a high-impact role with direct exposure to Customer Fulfillment leadership? The CF Flex 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 Operations, Retail 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 or Madrid
Key job responsibilities
As a Business Intelligence Engineer, 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 Operations, Retail 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 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
You will be accountable for dealing with challenging operational issues, and planning for our peak periods. You will review performance, on a daily, weekly, monthly and quarterly basis. You will perform deep analysis of our network and understand our metrics in detail, and have the ability to implement solutions that influence both the short and long-term goals of our business.
To be successful in this role, you need an aptitude for making data-driven decisions that will have direct impact on the customer experience, focusing on an impact based and process-driven approach. Key to your success will be your ability to dig into problems and start taking action quickly to meet the expectations of our customers. You will manage the day-to-day operational execution as a key member of the EU team and will have the opportunity to operate at a bigger picture in designing operations and improvement program. The ability to remain flexible and adapt to learning new tools and systems is instrumental in your role on the team. Our environment is deadline driven, fast paced, and requires you to be detail-oriented and comfortable interacting and working with multiple teams (business and technical).- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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.
