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 data-driven 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 Amazon's most exciting subscription services!
We're 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 world's most loved reading subscription, sparking joy for readers, authors and publishers. In this role, you'll dive deep into vast datasets, uncover actionable insights, and drive critical business decisions that impact millions of readers. You'll work closely with product & marketing managers, engineers, and senior leadership to optimize our content selection, improve subscriber experiences, and ensure the program's long-term success and profitability.
As a key member of our team, you'll have the opportunity to influence KU's 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 you're 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 KU's 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 data-driven 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 KU's and Deals' long-term 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 high-value content for the KU catalog
About the team
We're the EU Reading Growth Programs team at Amazon, driving digital reading innovation through KU and Deals.
We are passionate about books and technology. We're on a mission to enhance daily reading while supporting authors and publishers in the digital age. In our fast-paced, data-driven environment, our insights directly impact millions of readers.
We foster creativity, ownership, and continuous learning. We're shaping the future of digital reading, changing how the world discovers books. Join us in writing the next chapter of data-driven decision-making for Kindle Unlimited.
Let's turn the page on traditional analytics together and revolutionize the reading experience!
BASIC QUALIFICATIONS
- Experience programming to extract, transform and clean large (multi-TB) 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
PREFERRED QUALIFICATIONS
- 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 data-driven insights
- Prior experience in the publishing industry or with digital content platforms
