Amazon Go is a new kind of physical store with no lines and no checkout you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go.
We are looking for people who want to join a visionary team that continues to push the state of the art and improve the daily lives of customers. Learn more at amazon.com/go.
Amazon Go is looking for a BIE with strong technical skills, business acumen, project management skills, and a passion for operations excellence. This is a new role on a new BI team providing back end support for Amazon Go.
In this role you will help define and build out a forecasting function for an internal support operations team. You'll work directly with our software development teams and our ops and finance teams, and collaborate with researchers and other analysts across the business.
You will be creative in building, maintaining, and improving forecasting models with limited historical data. You'll collaborate with stakeholders across business, operations, and technology to understand the problem space and look for ways to innovate, and thoughtfully create recommendations to get buy in from senior leaders.
You are passionate and results driven. You are obsessed with the power of data to inform high impact decisions and to contribute to the development of high-performance teams and a bar-raising customer experience.
You know and love working with business intelligence tools and can partner with customers to answer key business questions. You can take complex statistical models and explain them simply to leaders across operations, program, product and technology. You dive deep and are right a lot. You have the superior analytical ability and technical skills to come up with quick, innovative solutions.
Quickly build a thorough understanding of the team and related technology.
Implement statistical methods to solve specific business problems.
Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
Directly contribute to the design and development of automated forecasting systems
Build user-facing reporting tools to provide insights and metrics which rack forecast performance and explain variance
Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback