About Our Team
We are part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the most personalized shopping experiences for our customers.
Our Vision
Our vision is to deliver personalized search and conversational shopping experiences for Amazon customers. We recognize that each customer is different, and strive to save customers valuable time by tailoring their search journey to their individual needs, interests, and preferences.
Job Responsibilities
* Work with our internal and external partners translating business questions into an analytical framework that can be answered with existing data using BI tools and producing the required data if it is not immediately available.
* Demonstrate curiosity about business questions and an ability to reason with data, leveraging your knowledge of the wider product and business landscape to explain trends in data and the relationships between different data elements, and to suggest, prioritize, and explore paths for further analysis.
* Build efficient, scalable data solutions (ETLs, queries, reports, dashboards, and analyses) that accurately address the business questions at hand.
* Produce meaningful, timely, and actionable deep dives to inform Personalization business decisions.
* Ensure data and code quality through all stages of data acquisition, processing, and delivery.
* Collaborate effectively with colleagues who are experts in a range of disciplines, including business, science, and engineering.
* Lead projects or components from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
Requirements
* Bachelor's degree in engineering, statistics, computer science, mathematics or equivalent quantitative field
* 7+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
* Experience in Business Intelligence, Data Analysis, or a similar role.
* Ability to operate independently and deal with ambiguity in a fast-paced environment.
* Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
* Experience with building ETL pipelines
* Experience with data visualization using Tableau, Quicksight, or similar tools
* Exceptional communication skills (verbal & written), with the ability to convey complex ideas in a clear and concise manner.
* Strong problem-solving skills.
PREFERRED QUALIFICATIONS
* Master's degree in finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
* Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
* Strong understanding of A/B testing, sampling methodologies, and other statistical analysis
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.