Detalle de la Oferta

Descripción de la Oferta

Description

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you.

Watch this video to learn more about our organization, SCOT:

Strategic Sourcing Systems (OSS) at Amazon is seeking a Business Intelligence Engineer (BIE) to join our team. As a BIE in this role, you will be a key contributor to enhancing the Inbound efficiency and accurate predictions of our supply chain sourcing inbound operations through business intelligence. Our current focus is on improving overall visibility that Amazon has into incoming inbound freight through improving signal quality as well as signal aggregation. This allows us to orchestrate inbound freight through the supply chain, and improve overall inbound lead times. You will collaborate with cross-functional teams to drive data-driven insights that optimize inbound signals, scheduling, and overall supply chain performance.

Key job responsibilities
Design, develop, and maintain complex data models and ETL pipelines to support sourcing analytics
Create and optimize SQL queries for large-scale data analysis
Build interactive dashboards and visualizations
Partner with business stakeholders to understand requirements and translate them into technical solutions
Implement data quality controls and monitoring systems
Develop automated reporting solutions and self-service analytics capabilities
Collaborate with data engineering teams to optimize data architecture and performance

About the team
About the team
The Optimal Sourcing Systems (OSS) team at Amazon is at the forefront of revolutionizing global supply chain management. We are responsible for developing and implementing cutting-edge algorithmic solutions and data platforms that drive Amazon's sourcing decisions worldwide. Our mission is to optimize the entire procurement process, from vendor selection to inventory placement, ensuring the most efficient and cost-effective supply chain operations. We tackle complex challenges that directly impact Amazon's bottom line and customer satisfaction by leveraging advanced analytics, machine learning, and big data technologies to make data-driven decisions that optimize costs, improve delivery times, and enhance product availability across millions of items.

Basic Qualifications

- 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)

Preferred Qualifications

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience with scripting language (e.g., Python, Java, or R)

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Educación Superior