Business Intelligence Engineer , Amazon Last Mile

Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the magic of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives.

As part of the Last Mile Science & Technology organization, you ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazons Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role.


Responsibilities:
Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations
Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities
Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value
Navigate ambiguity to develop analytic solutions and shape work for junior team members - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e. g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e. g. t-test, Chi-squared)
- Experience with scripting language (e. g. , Python, Java, or R)