Have you ever ordered a product on Amazon and wondered how it got to you so fast? Amazon’s Supply Chain Optimization Technology (SCOT) organization is focused on solving deep technical problems and building innovative solutions in a fast-paced environment with passionate team members. Our vision is to ensure Amazon Customers have the best experience throughout the year, without compromising during high traffic or deal events.
The SCOT Team is seeking highly motivated individuals with exceptional data analytics skills and a passion for tackling intricate challenges. In this role, you will utilize your expertise to inform impactful business decisions that enhance customer experience and contribute to long-term free cash flow growth. You will collaborate with diverse teams across product, science, tech, retail categories, finance, and operations, gaining a comprehensive understanding of Amazon's systems and supply chain processes.
Key Responsibilities
- Own a supply chain workstream end-to-end, analyzing and synthesizing large data streams across multiple systems/inputs.
- Collaborate with Product and Program Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve customers.
- Develop business insights based on data extraction, data analytics, trend deduction, and pattern recognition.
- Present business insights to senior management/executives.
- Create advanced dashboards to track progress and help teams implement changes.
- Build analytical models to improve business outcomes at scale, enhancing current system capabilities.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience in data modeling, warehousing, and building ETL pipelines.
- Proficiency in Statistical Analysis packages such as R, SAS, and Matlab.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) for data processing.
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Experience in data mining and ETL using databases in a business environment with large-scale, complex datasets.
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