For millions of customers worldwide, the Amazon name is synonymous with delivery – and the Delivery Experience (DEX) team provides innovative ways for customers to get what they want and need, enabling the choices they make on every order, every day. We combine customer impact with retail invention, solving huge technical challenges along the way.

DEX's Convenience programs give customers control over their delivery day and time. Existing programs include Amazon Day (AD) and Scheduled Delivery (SD). AD lets Prime customers receive all of their orders on their preferred day of the week in as few boxes as possible. Customers can keep adding orders throughout the week to be delivered on their Amazon Day, giving customers the predictability they love. Scheduled Delivery lets customers choose the precise date and time window in which their orders should arrive.

This Business Intelligence Engineer (BIE) role will chart the future of DEX's Convenience programs by developing tools and mechanisms to power insights about our customers and our program. In this role, you will be responsible for delivery performance and precision delivery metrics, deep-dives and custom analyses. You’ll set the bar for analytics, insights, experiment design and readouts and ensure that the product and technical teams are making the right decisions for our customers and long-term program success. You’ll make sure that feature launches are backed by fresh, accurate data and help product managers and engineers grow their analytic capabilities. You’ll tackle complex questions requiring longitudinal or econometric analysis. To be successful in this BIE role you must possess ruthlessly high standards for the quality of data and insights, and a natural ability and penchant to prioritize and dive deep as many layers as necessary to get to the answers you seek.

Key job responsibilities
- Recognize and adopt best practices for building a scalable business intelligence platform
- Understand the product and technical context in order to grasp and anticipate requirements and effectively communicate findings

- Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Apply analytics and data mining techniques to solve complex problems and drive business decisions
- Design and architect data pipelines and data models that integrate disparate data sources and enable scalable and efficient data processing and storage for timely and accurate downstream business reporting and analyses
- Build scalable solutions / self-serve platforms that will provide data / KPIs to inform business decision making
- Build various data visualizations to tell the story and let the data speak for itself
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Proactively developing new metrics and studies to quantify customer behavior
- Partner with stakeholders to gather requirements and integrate necessary data sources to support business analysis and reporting
- Continually improve recurring reporting and analysis processes via re-architecture or automated solutions