About the position
At Amazon Logistics we are building a world class last mile operation, significantly complimented by Amazon Flex. Amazon Flex works directly with independent contractors - called delivery partners - to make deliveries to our customers. With Amazon Flex, individuals can now be their own boss delivering Amazon packages. Amazon Flex is powered by a mobile app that works in concert with our advanced logistics systems that allows delivery partners to on-board, schedule delivery times, guide them through their deliveries with in-app mapping and navigation, and more. The approach and technology are nothing short of disruptive, and promise to challenge traditional approaches, and change the way the industry operates. We are hiring a Business Intelligence Engineer (BIE) to help us accelerate our efforts in delivering an evolving Flex business. This person will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights, answer business questions and drive growth.
Responsibilities
- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs for forecasting and pricing
- Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals
- Write high quality SQL code to retrieve and analyze data from database tables (primarily Redshift)
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
- Provide thought leadership and business analysis support as needed
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
Nice-to-haves
- 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
Benefits
- Full range of medical benefits
- Financial benefits
- Equity and sign-on payments as part of total compensation package
