Rapid and Rural Logistics is a rapidly growing area of Amazon fulfillment that includes rush service and super rural delivery. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insight, and other analytical support to stakeholders for the Sub-Same Day (SSD) . SSD involves delivering packages within one of five specific promise windows, generally within 24 hours of order time. Many SSD stations are in metropolitan areas, where fulfillment center and delivery station are co-located to help expedite delivery.
Candidates will have excellent analytical abilities, sound judgment, curiosity, strong technical skills, and superior written and verbal communication skills. They will have a strong bias toward data driven decision making. They must be a self-starter, comfortable with ambiguity, and able to think big and be creative to support a rapidly growing business that operates like a start-up within Amazon. If you are excited about data, are results oriented, and want to join a growing analytics team, this role is for you.
Key job responsibilities
Provide technical expertise in extracting, integrating, and analyzing critical data for On Road operations.
Clearly communicate any potential discrepancies and/or reporting downtime, including specific root cause and steps to resolution
Design and develop key performance metrics and indicators
Be hands-on with ETL to build data pipelines to support automated reporting
A day in the life
You will create interactive dashboards and data visualizations that are widely used throughout the organization
You will provide technical and business expertise in integrating data from a variety of source systems and presenting it through an array of self-service applications
You will perform ad hoc analysis to quickly identify high priority and time sensitive operational issues relating to new delivery mechanisms and pilot programs
You will work with key stakeholders to document and translate business requirements into technical requirements
