Data Scientist / Business Intelligence Engineer, EU Prime and Marketing Science & Analytics
Data Scientist / Business Intelligence Engineer, EU Prime and Marketing Science & Analytics
Posted on :
17-05-2025
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1 Vacancy
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Job Description
The position can be based in Amsterdam or London.
Are you passionate about giving customers the richest most inspiring experience in their shopping journey Do you like to dive deep to understand how customercentric solutions drive measurable results Do you enjoy working closely with the business scientists and software engineers to build scalable products You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team where your actions will have direct impact to millions of customers!
The EU Marketing & Prime organization is looking for a Data Scientist / Business Intelligence Engineer. The position can be based in London or Amsterdam.
The PRIMAS team provides a comprehensive understanding of customer segments affinities and lifetime value. We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement sales and marketing efficiency. Our systems are built entirely inhouse and on the cuttingedge in automated largescale analytics systems. You will generate insights design/deliver/measure experiments and strategies across marketing channels (SEM/SEO Affiliates Display Social Mobile Email Onsite etc.) engagement products and customer segments. You will improve our understanding of Customer behavior and engagement design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that will inform long term strategy. You will have the opportunity to work on the forefront of consumer analytics tackling some of the most difficult problems in the industry with some of the best scientists statisticians and software engineers in the field.
Key job responsibilities
In this role you will be:
Working on complex loosely defined analytics problems and defining the teams. Delivering independently and influencing the organizations BI and data science architecture
Providing analytics solutions for complex business problems. Building analyses/solutions that are robust extensible and scalable.
Communicating effectively with management audiences (e.g. narratives inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical tradeoffs for long term/shortterm needs.
Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations scaling factors boundary conditions and/or the reasons for technical decisions
Providing analyses frameworks and solutions that inform multiple teams business decisions and highlight new opportunities
Driving best practices in operational excellence data modelling and analysis
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience with forecasting and statistical analysis
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with data modeling warehousing and building ETL pipelines
Experience with data visualization using Tableau Quicksight or similar tools
Experience in the data/BI space
Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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 largescale complex datasets
Experience in Statistical Analysis packages such as R SAS and Matlab
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Are you passionate about giving customers the richest most inspiring experience in their shopping journey Do you like to dive deep to understand how customercentric solutions drive measurable results Do you enjoy working closely with the business scientists and software engineers to build scalable products You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team where your actions will have direct impact to millions of customers!
The EU Marketing & Prime organization is looking for a Data Scientist / Business Intelligence Engineer. The position can be based in London or Amsterdam.
The PRIMAS team provides a comprehensive understanding of customer segments affinities and lifetime value. We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement sales and marketing efficiency. Our systems are built entirely inhouse and on the cuttingedge in automated largescale analytics systems. You will generate insights design/deliver/measure experiments and strategies across marketing channels (SEM/SEO Affiliates Display Social Mobile Email Onsite etc.) engagement products and customer segments. You will improve our understanding of Customer behavior and engagement design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that will inform long term strategy. You will have the opportunity to work on the forefront of consumer analytics tackling some of the most difficult problems in the industry with some of the best scientists statisticians and software engineers in the field.
Key job responsibilities
In this role you will be:
Working on complex loosely defined analytics problems and defining the teams. Delivering independently and influencing the organizations BI and data science architecture
Providing analytics solutions for complex business problems. Building analyses/solutions that are robust extensible and scalable.
Communicating effectively with management audiences (e.g. narratives inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical tradeoffs for long term/shortterm needs.
Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations scaling factors boundary conditions and/or the reasons for technical decisions
Providing analyses frameworks and solutions that inform multiple teams business decisions and highlight new opportunities
Driving best practices in operational excellence data modelling and analysis
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience with forecasting and statistical analysis
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with data modeling warehousing and building ETL pipelines
Experience with data visualization using Tableau Quicksight or similar tools
Experience in the data/BI space
Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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 largescale complex datasets
Experience in Statistical Analysis packages such as R SAS and Matlab
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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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