Amazon Business Intelligence Engineer Demand Forecasting 

United States, Washington, Bellevue 

517429426

We are looking for a Business Intelligence Engineer to lead the development of new tools to monitor and improve forecast health. You will do this by detecting, diagnosing and correcting forecast problems and generating metrics and insights. You will have the resources and tools to help you deliver this mission and support from partner teams like Data Engineering/Data Science/Product.A successful candidate will be customer obsessed - the Forecasting org has 50+ unique customers. You will need to balance long-term thinking with short-term actions. You will be comfortable navigating an ambiguous environment, know how to confirm and reconfirm assumptions, and be able to harmonize disparate points of view.
Key job responsibilities
- Engage stakeholders to gather business and functional requirements, translating the gathered requirements into scalable, operable solutions that work well within the overall data architecture
- Build tools to analyze large amounts of data that uncover forecasting issues and convey insights which highlight forecast performance and explain variance
- Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenanceA day in the life- Create and foster an environment that values and promotes an inclusive approach to problem solving and continuous learning
Per the internal transfers guidelines, please reach out to the hiring manager for an informational through the "Request Informational" button on the job page

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- 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