Business Intelligence Engineer EU Hardlines Marketing
Business Intelligence Engineer EU Hardlines Marketing
Posted on :
14-04-2025
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1 Vacancy
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Job Description
Join us on a mission to revolutionize curated marketing experiences at Amazon! Were seeking an analytical and creative mind to build automated solutions that transform how millions of customers discover products across Europe. As part of our EU Hardlines Customer Insights & Analytics team youll develop innovative Automated Marketing Models while establishing frameworks that continuously improve their performance.
In this pivotal role youll wear multiple hats to drive excellence in our marketing experiences. Youll develop new automated marketing models that connect customers with relevant products create sophisticated customer segments based on shopping behaviors and preferences and build automated monitoring systems that identify opportunities for improvement. Working with crossfunctional teams youll establish quality controls and feedback loops that ensure our marketing experiences continuously evolve and improve while scaling our ability to experiment and innovate.
This is a unique opportunity to shape the future of online retail at scale. Youll work with rich customer behavior data to build automated solutions that enhance millions of shopping journeys from creating new ways to surface products to developing systems that automatically detect and address experience gaps. If youre passionate about using data to solve complex problems excited about building automated systems that scale excellence and driven to create more engaging shopping experiences we want to hear from you. Join us in creating the next generation of intelligent curated marketing experiences that will set new standards in ecommerce.
Key job responsibilities
Designing delivering and maintaining Automated Marketing Models that connect customers with relevant products leveraging customer behavioir data and shopping patterns
Creating advanced customer segmentation frameworks based on propensity modelling and behavioural analysis to enable targeted marketing experiences
Building and maintaining an automated monitoring system that identifies improvement opportunities across our marketing experiences
Establishing automated feedback loops and quality controls that continuously improve the performance of our marketing models and customer experiences
Working with crossfunctional teams to design and analyse experiments that validate new automated marketing approaches and segment strategies
Developing scalable automated reporting solutions that track the health and performance of our marketing models and segments
Creating clear documentation and frameworks that enable broad adoption of our automated solutions across marketing teams
Building deep expertise in our marketing automation tools and systems while continuously identifying opportunities to improve their capabilities
Communicating complex analytical findings to stakeholders with a focus on making clear the insights assumptions and opportunities for improvement
Partnering with product and marketing teams to understand business needs and convert them into analytical solutions that can be automated and scaled
About the team
The EU Hardlines Customer Insights & Analytics team consists of five technical experts four Business Intelligence Engineers and one Research Specialist driving data innovation across Amazons European stores. Our vision is for all prospective Hardlines customers to be inspired to shop through highly relevant personalised and aspirational experiences powered by bestinclass understanding of customer behavior and automation. We operate across two key charters: Marketing Analytics where we build nextgeneration models and automation solutions that enable personalised marketing at scale and Customer Experience (CX) & Item Data Quality (IDQ) where we drive improvements in how millions of customers discover and evaluate products.
Our work spans multiple technical disciplines: from deepdive analytics using SQL and Spark SQL for largescale data processing to building automated marketing solutions with Python Lambda and leveraging internal personalisation toolkits to create and deploy new product recommendation strategies. The team combines quantitative analysis with qualitative customer research to drive improvements using automated reporting solutions to validate results and support next step definition. Weve established ourselves as the automation and measurement powerhouse in EU Stores with our solutions enabling thousands of marketing experiences and saving significant operational time through automated campaign scheduling storefront creation and performance measurement. Through our focus on scalable solutions and partnership with crossfunctional teams we maintain a strong culture of innovation where technical excellence meets customer obsession to enhance the shopping experience for millions of European customers.
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
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
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.
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.
In this pivotal role youll wear multiple hats to drive excellence in our marketing experiences. Youll develop new automated marketing models that connect customers with relevant products create sophisticated customer segments based on shopping behaviors and preferences and build automated monitoring systems that identify opportunities for improvement. Working with crossfunctional teams youll establish quality controls and feedback loops that ensure our marketing experiences continuously evolve and improve while scaling our ability to experiment and innovate.
This is a unique opportunity to shape the future of online retail at scale. Youll work with rich customer behavior data to build automated solutions that enhance millions of shopping journeys from creating new ways to surface products to developing systems that automatically detect and address experience gaps. If youre passionate about using data to solve complex problems excited about building automated systems that scale excellence and driven to create more engaging shopping experiences we want to hear from you. Join us in creating the next generation of intelligent curated marketing experiences that will set new standards in ecommerce.
Key job responsibilities
Designing delivering and maintaining Automated Marketing Models that connect customers with relevant products leveraging customer behavioir data and shopping patterns
Creating advanced customer segmentation frameworks based on propensity modelling and behavioural analysis to enable targeted marketing experiences
Building and maintaining an automated monitoring system that identifies improvement opportunities across our marketing experiences
Establishing automated feedback loops and quality controls that continuously improve the performance of our marketing models and customer experiences
Working with crossfunctional teams to design and analyse experiments that validate new automated marketing approaches and segment strategies
Developing scalable automated reporting solutions that track the health and performance of our marketing models and segments
Creating clear documentation and frameworks that enable broad adoption of our automated solutions across marketing teams
Building deep expertise in our marketing automation tools and systems while continuously identifying opportunities to improve their capabilities
Communicating complex analytical findings to stakeholders with a focus on making clear the insights assumptions and opportunities for improvement
Partnering with product and marketing teams to understand business needs and convert them into analytical solutions that can be automated and scaled
About the team
The EU Hardlines Customer Insights & Analytics team consists of five technical experts four Business Intelligence Engineers and one Research Specialist driving data innovation across Amazons European stores. Our vision is for all prospective Hardlines customers to be inspired to shop through highly relevant personalised and aspirational experiences powered by bestinclass understanding of customer behavior and automation. We operate across two key charters: Marketing Analytics where we build nextgeneration models and automation solutions that enable personalised marketing at scale and Customer Experience (CX) & Item Data Quality (IDQ) where we drive improvements in how millions of customers discover and evaluate products.
Our work spans multiple technical disciplines: from deepdive analytics using SQL and Spark SQL for largescale data processing to building automated marketing solutions with Python Lambda and leveraging internal personalisation toolkits to create and deploy new product recommendation strategies. The team combines quantitative analysis with qualitative customer research to drive improvements using automated reporting solutions to validate results and support next step definition. Weve established ourselves as the automation and measurement powerhouse in EU Stores with our solutions enabling thousands of marketing experiences and saving significant operational time through automated campaign scheduling storefront creation and performance measurement. Through our focus on scalable solutions and partnership with crossfunctional teams we maintain a strong culture of innovation where technical excellence meets customer obsession to enhance the shopping experience for millions of European customers.
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
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
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.
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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