Business Intelligence Engineer, EU Selection
Business Intelligence Engineer, EU Selection
Posted on :
26-07-2025
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1 Vacancy
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Job Description
Additional locations include: Paris Luxembourg London Milan or Madrid
The EU Selection team is looking for a Business Intelligence Engineer with broad technical skills and world-class data management skills to develop the systems we use to support our selection and vendor growth development and expansion across the EU landscape as well as defect identification and elimination.
In this role you will be working in one of the worlds largest and most complex data warehouse environments. You will work on analytics visualization solutions and other Business Intelligence applications used by researchers engineers and management across multiple departments. You should be reliable at designing implementing and operating stable scalable low-cost solutions that persist data from production systems into the data warehouse and end-user facing applications. You should have deep expertise in the design creation management and business use of extremely large datasets. You will need excellent business and communication skills to work with researchers and business owners in a fast paced environment to develop and define key business questions and requirements. Above all you should be passionate about working with huge datasets and analytics tools to provide insight into how the business is running and enable business decisions to be data driven.
The successful candidate will:
- Have an understanding for business objectives and continually align your work with those objectives and seek to deliver business value. You listen effectively.
- Analyze and solve business problems at their root stepping back to understand the broader context.
- Develop solutions that utilize the highest standards of analytical rigor and data integrity.
- Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions.
- Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
- Write high quality code to retrieve and analyze data.
- Use data mining model building and other analytical techniques.
- Learn and understand a broad range of Amazons data resources and know how when and which to use and which not to use.
- Respond with urgency to high priority requests from senior business leaders.
- 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 ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The EU Selection team is looking for a Business Intelligence Engineer with broad technical skills and world-class data management skills to develop the systems we use to support our selection and vendor growth development and expansion across the EU landscape as well as defect identification and elimination.
In this role you will be working in one of the worlds largest and most complex data warehouse environments. You will work on analytics visualization solutions and other Business Intelligence applications used by researchers engineers and management across multiple departments. You should be reliable at designing implementing and operating stable scalable low-cost solutions that persist data from production systems into the data warehouse and end-user facing applications. You should have deep expertise in the design creation management and business use of extremely large datasets. You will need excellent business and communication skills to work with researchers and business owners in a fast paced environment to develop and define key business questions and requirements. Above all you should be passionate about working with huge datasets and analytics tools to provide insight into how the business is running and enable business decisions to be data driven.
The successful candidate will:
- Have an understanding for business objectives and continually align your work with those objectives and seek to deliver business value. You listen effectively.
- Analyze and solve business problems at their root stepping back to understand the broader context.
- Develop solutions that utilize the highest standards of analytical rigor and data integrity.
- Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions.
- Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
- Write high quality code to retrieve and analyze data.
- Use data mining model building and other analytical techniques.
- Learn and understand a broad range of Amazons data resources and know how when and which to use and which not to use.
- Respond with urgency to high priority requests from senior business leaders.
- 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 ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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