Are you passionate about working with Amazon-scale data, analytics/science, and state-of-the-art data infrastructure? Do you love bringing data together from diverse systems and sources, and solving complex analytics problems for creating deep understanding of customer behavior and generating actionable business insights? Does the idea of working closely with a partner team of product managers, operations leaders, machine-learning scientists, and software engineers excite you? Are you interested in influencing the Books Discovery & Reading experience through data insights?
Books Data Quality org: Our vision is for Amazon to be the most accurate source of book catalog data in the world. Books catalog attributes are the foundation of customer and author experiences and improving the accuracy of our catalog data enables us to build a delightful store that supports discovery, earns trust with our customers (and authors and publishers), and helps customers find their best next book. Reading Experience: We envision Kindle as the place where readers find the best manifestation of all written content optimized with features that enable them to get the most out of reading, and creators are able to realize their vision to customers quickly and at scale.
This team will focus on improving the discovery & reading experience of books through data analysis and insights. You will be working with multiple product leaders in decision making by providing inputs on the insights and direction. Your team will be focusing on descriptive, diagnostic, predictive and prescriptive insights.
Basic Qualifications
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
Preferred Qualifications
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
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