Business Intelligence Engineer EU NFT
Business Intelligence Engineer EU NFT
Posted on :
08-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Are you seeking a highimpact role with direct exposure to senior leadership The EUNFT team is looking for a customerfocused Business Intelligence Engineer with strong analytical and technical expertise to drive performance measurement innovation and within Fulfillment Center Operations. This role plays a critical part in optimizing Amazons fulfillment networkenhancing the customer experience through faster delivery promises and enabling costefficient fulfillment planning and . Partnering with Fulfillment Center Operations and data teams you will develop analytics dashboards deepdive 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
Customer Requests: Collaborate with business partners to gather requirements and deliver datadriven solutions including dashboards tools and scalable pipelines.
and Implement Solutions: Develop and prioritize technical solutions using robust design principles to address business challenges and innovate data infrastructure.
Operational Excellence: Establish and promote best practices for efficient scalable and reliable data solutions.
A day in the life
Youll 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 realtime decisionmaking.
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.
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. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Experience with SQL
Experience in the data/BI space
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation 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 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.
We are open to hiring candidates to work out of one of the following locations: Luxembourg Barcelona and UK
Key job responsibilities
Customer Requests: Collaborate with business partners to gather requirements and deliver datadriven solutions including dashboards tools and scalable pipelines.
and Implement Solutions: Develop and prioritize technical solutions using robust design principles to address business challenges and innovate data infrastructure.
Operational Excellence: Establish and promote best practices for efficient scalable and reliable data solutions.
A day in the life
Youll 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 realtime decisionmaking.
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.
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. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Experience with SQL
Experience in the data/BI space
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation 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 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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
