BIE, Delivery Choices, Products, Science and Analytics

Amazon is seeking a self-started candidate who is passionate about leveraging data to deliver actionable insight that impacts business decisions to improve the customer delivery experience WW.
DEX Delivery Choices offers customers alternatives to Core and faster-than-Core delivery options, addressing needs for control, choice, sustainability, and the convenience of receiving items together. Our programs also drive network consolidation, flexibility, cost savings, and carbon reduction for Amazon.

A successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and better customer experience. This role offers the opportunity to influence and drive a growing business area. This role includes analyzing large data sets, integrating metrics into product launches, validating hypotheses, automating existing solutions, and developing self-service dashboards and reports. This role actively contributes to driving innovation through data and collaborates with a wide array of stakeholders, including Product Managers, Data Scientists, Economists, SDEs, Data Engineers, and other partner teams.

Key job responsibilities

• Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
• Translate basic business problem statements into analysis requirements.
• Use analytical and statistical rigor to answer business questions and drive business decisions.
• Find and create ways to measure the customer experience to drive business outcomes.
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.
• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.
• Troubleshoot operational -quality issues.
• Review and audit existing jobs and queries.
• Recommending improvements to back-end sources for increased accuracy and simplicity.