Business Intelligence Engineer, Kindle Unlimited

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 and help shape the future of Amazon's Book Retail Divions!

We're seeking an experienced, innovative BI professional to lead our data strategy and analytics efforts. Our vision is for Amazon Books to be the world's most loved book buying and reading destination, 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 Book's strategy across 5 European marketplaces, 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 Books performance, customer behavior, and content engagement
- Analyze large, complex datasets to identify trends, opportunities, and risks
- Develop and optimize data models, ETL processes, and analytics pipelines to support Book'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 Book's long-term data strategy and contribute to the broader organization

A day in the life
- Starting your morning by reviewing Books performance metrics; investigate anomalies
- Present analysis on content acquisition impact on topline and customer 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 our stakeholders and partners to analyze their program effectiveness
- Concluding your day by refining a predictive model that forecasts potential high-value insights for strategic decision making

About the team
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 book shopping and 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 managing, analyzing and communicating results to senior leadership

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