Business Intelligence Engineer, Automated Inventory Management, SCOT IN JP, Supply Chain Optimization Technologies (SCOT)

SCOT Regional Team in India is seeking highly motivated individuals with exceptional data analytics skills and a passion for tackling intricate 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 gain a comprehensive understanding of Amazons systems and supply chain processes through collaboration with diverse teams across product science tech retail categories finance and operations.

Key job responsibilities
Analyze and synthesize large data streams across multiple systems/inputs.
Work with Product Managers to understand customer behaviors spot system defects and benchmark our ability to serve our customers improving a wide range of internal products that impact sourcing and inventory health.
Develop business insights basis data extraction data analytics trend deduction & Pattern recognition.
Present these business insights to senior management/executives.
Create advanced dashboard to help a large group of teams to consume insights make changes to business process and track progress.
Build analytical models that can help improve business outcomes at scale enhancing current system abilities.

About the team
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 Amazons Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart & passionate team members. (Learn more about SCOT: 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience 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) to process data for modeling

- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets

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