Amazon aims to exceed the expectations of our customers by ensuring that their orders no matter how large or small are delivered as quickly accurately and cost effectively as possible. To meet this goal Amazon is continually working to provide optimized service levels through the introduction of new products and services.
The On Road Staffing (ORS) team is seeking a talented Business Intelligence Engineer (BIE) to join our team focusing on the development of Market Intelligence products. Our team is scaling processes and initiatives fast requiring this Amazonian to hit the ground running.
This Amazonian will need to have solid business acumen be comfortable interfacing and driving across various functional teams have a passion for developing and implementing processes in an ambiguous problem space and be willing to roll up their sleeves to build a program that will significantly impact Amazons last mile delivery capabilities. This Amazonian should have a proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.
Key job responsibilities - Own design develop document and manage scalable solutions for new and ongoing metrics reports analyses visualizations and dashboards to support business needs - Own and develop queries and data visualizations for ad-hoc recurring troubleshooting requests and projects as well as for ongoing reporting by leveraging SQL Redshift QuickSight and Tableau skillsets - Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it - Use data mining data modelling data warehousing and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business - Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with data modeling warehousing and building ETL pipelines - Experience with data visualization using Tableau Quicksight or similar tools - Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift - Experience with economic and/or labor market data.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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