Amazon is looking for a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. The team’s success depends on our ability to create actionable insight from the data that we and our partners generate.
Requirements
- 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 in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Responsibilities
- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.
- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
- Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
Other
- identify strategic initiatives that will form the next generation of Amazon Logistics.
- excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills.
- self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment.
- work closely with partners in Product Management, Training and Program Management to design and deliver data needs.
- strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.
