Organization Overview
In Kindle Direct Publishing Risk Ops, authors are at the heart of what we do. It's that simple. We have a great team that thrives on innovation and are passionate about creating an exceptional customer experience. If you want to delight customers and solve problems through data, the Business Intelligence Engineer (BIE) is the job for you!
Position Overview
As a Business Intelligence Engineer you will be leading the charge in developing data modeling strategies and design decisions. You will work with a wide range of data technologies (e.g. Redshift, Lambda, and Tableau) and stay up to date on emerging technologies, investigating and implementing where appropriate.
This role requires an individual with proficiency in analytical abilities, deep knowledge of business intelligence solutions, and the ability to work with technology and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this space.
The key ways this role makes a difference in the Risk Ops organization are:
1. Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
2. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs.
3. Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
4. Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
5. Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Books org and Amazon to produce complete data solutions.
6. Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
7. Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Posted: April 11, 2025 (Updated about 5 hours ago)
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