Business Intelligence Engineer EU EL Books Analytics
Business Intelligence Engineer EU EL Books Analytics
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Do you believe in the power of reading to bring enjoyment enlightenment and empowerment to people of all ages and from all backgrounds
Do you thrive on solving complex problems with datadriven insights Join the central EU Books Business Intelligence Engineering (BI) Team as a Senior Business Intelligence Engineer for the Kindle Unlimited (KU) team and help shape the future of one of Amazons most exciting subscription services!
Were seeking an experienced innovative BI professional to lead our data strategy and analytics efforts for Kindle Unlimited as well as supporting on these for our Kindle and Print Book Deals programs. Our vision is for Kindle Unlimited to be the worlds most loved reading subscription sparking joy for readers authors and publishers. In this role youll dive deep into vast datasets uncover actionable insights and drive critical business decisions that impact millions of readers. Youll work closely with product & marketing managers engineers and senior leadership to optimize our content selection improve subscriber experiences and ensure the programs longterm success and profitability.
As a key member of our team youll have the opportunity to influence KUs strategy across 5 European marketplaces support innovation in the Deals space mentor other BIE team members and set the standard for BI excellence within our organization. If youre ready to make a significant impact at the intersection of technology data and literature we want to hear from you!
Key job responsibilities
Design implement and maintain sophisticated BI solutions that provide critical insights into the KU and Deals performance customer behavior and content engagement
Analyze large complex datasets to identify trends opportunities and risks in the KU program
Develop and optimize data models ETL processes and analytics pipelines to support KUs growing data needs
Create compelling visualizations and dashboards that clearly communicate insights to stakeholders at all levels
Partner with product marketing and engineering teams to define and track key performance indicators (KPIs) for new features and initiatives
Provide datadriven recommendations to inform content acquisition strategy customer growth tactics and content payout models
Collaborate with data science teams to develop and implement advanced analytics and machine learning models
Mentor junior team members and promote BI best practices across the organization
Influence KUs and Deals longterm data strategy and contribute to the broader Amazon Books organization
A day in the life
Starting your morning by reviewing KU and Deals performance metrics; investigate anomalies
Present analysis on content acquisition impact on subscriber engagement at product strategy meeting
Collaborate with data engineers to optimize ETL process for processing daily reader behavior data
Mentor junior team member on advanced SQL for content performance analysis
Develop dashboard to visualize subscriber retention across market segments
Partner with marketing to analyze promotional campaign effectiveness
Concluding your day by refining a predictive model that forecasts potential highvalue content for the KU catalog
About the team
Were the EU Reading Growth Programs team at Amazon driving digital reading innovation through KU and Deals.
We are passionate about books and technology. Were on a mission to enhance daily reading while supporting authors and publishers in the digital age. In our fastpaced datadriven environment our insights directly impact millions of readers.
We foster creativity ownership and continuous learning. Were shaping the future of digital reading changing how the world discovers books. Join us in writing the next chapter of datadriven decisionmaking for Kindle Unlimited.
Lets turn the page on traditional analytics together and revolutionize the reading experience!
Experience programming to extract transform and clean large (multiTB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience working directly with business stakeholders to translate between data and business needs
Experience with SQL
Experience with data visualization using Tableau Quicksight or similar tools
Experience in the data/BI space
Experience with machine learning and statistical modeling techniques
Familiarity with data visualization tools such as Tableau QuickSight or Power BI
Knowledge of the digital content or subscription business models
Experience with big data technologies like Hadoop or Spark
Demonstrated ability to influence senior leadership through datadriven insights
Prior experience in the publishing industry or with digital content platforms
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Do you thrive on solving complex problems with datadriven insights Join the central EU Books Business Intelligence Engineering (BI) Team as a Senior Business Intelligence Engineer for the Kindle Unlimited (KU) team and help shape the future of one of Amazons most exciting subscription services!
Were seeking an experienced innovative BI professional to lead our data strategy and analytics efforts for Kindle Unlimited as well as supporting on these for our Kindle and Print Book Deals programs. Our vision is for Kindle Unlimited to be the worlds most loved reading subscription sparking joy for readers authors and publishers. In this role youll dive deep into vast datasets uncover actionable insights and drive critical business decisions that impact millions of readers. Youll work closely with product & marketing managers engineers and senior leadership to optimize our content selection improve subscriber experiences and ensure the programs longterm success and profitability.
As a key member of our team youll have the opportunity to influence KUs strategy across 5 European marketplaces support innovation in the Deals space mentor other BIE team members and set the standard for BI excellence within our organization. If youre ready to make a significant impact at the intersection of technology data and literature we want to hear from you!
Key job responsibilities
Design implement and maintain sophisticated BI solutions that provide critical insights into the KU and Deals performance customer behavior and content engagement
Analyze large complex datasets to identify trends opportunities and risks in the KU program
Develop and optimize data models ETL processes and analytics pipelines to support KUs growing data needs
Create compelling visualizations and dashboards that clearly communicate insights to stakeholders at all levels
Partner with product marketing and engineering teams to define and track key performance indicators (KPIs) for new features and initiatives
Provide datadriven recommendations to inform content acquisition strategy customer growth tactics and content payout models
Collaborate with data science teams to develop and implement advanced analytics and machine learning models
Mentor junior team members and promote BI best practices across the organization
Influence KUs and Deals longterm data strategy and contribute to the broader Amazon Books organization
A day in the life
Starting your morning by reviewing KU and Deals performance metrics; investigate anomalies
Present analysis on content acquisition impact on subscriber engagement at product strategy meeting
Collaborate with data engineers to optimize ETL process for processing daily reader behavior data
Mentor junior team member on advanced SQL for content performance analysis
Develop dashboard to visualize subscriber retention across market segments
Partner with marketing to analyze promotional campaign effectiveness
Concluding your day by refining a predictive model that forecasts potential highvalue content for the KU catalog
About the team
Were the EU Reading Growth Programs team at Amazon driving digital reading innovation through KU and Deals.
We are passionate about books and technology. Were on a mission to enhance daily reading while supporting authors and publishers in the digital age. In our fastpaced datadriven environment our insights directly impact millions of readers.
We foster creativity ownership and continuous learning. Were shaping the future of digital reading changing how the world discovers books. Join us in writing the next chapter of datadriven decisionmaking for Kindle Unlimited.
Lets turn the page on traditional analytics together and revolutionize the reading experience!
Experience programming to extract transform and clean large (multiTB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience working directly with business stakeholders to translate between data and business needs
Experience with SQL
Experience with data visualization using Tableau Quicksight or similar tools
Experience in the data/BI space
Experience with machine learning and statistical modeling techniques
Familiarity with data visualization tools such as Tableau QuickSight or Power BI
Knowledge of the digital content or subscription business models
Experience with big data technologies like Hadoop or Spark
Demonstrated ability to influence senior leadership through datadriven insights
Prior experience in the publishing industry or with digital content platforms
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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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