Business Intelligence Engineer SCOT - Automated Inventory Management
Business Intelligence Engineer SCOT - Automated Inventory Management
Posted on :
08-04-2025
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1 Vacancy
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Job Description
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 fastpaced environment working with smart & passionate team members. (Learn more about SCOT: vision is to ensure Amazon Customers have the best experience on Amazon throughout the year and do not have to compromise with a less than optimal experience during High traffic / Deal events.
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 longterm 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.
This role will require partnering closely with Product Managers across SCOT to segment our key Customer Experience and Supply Chain metrics such as SoROOS and LocalInStock through the year identify key opportunities to improve our system and process to deliver BestAtAmazon experiences for Customers throughout the year.
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 inventory availability for customers both nationally and regionally
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.
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 largescale complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 fastpaced environment working with smart & passionate team members. (Learn more about SCOT: vision is to ensure Amazon Customers have the best experience on Amazon throughout the year and do not have to compromise with a less than optimal experience during High traffic / Deal events.
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 longterm 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.
This role will require partnering closely with Product Managers across SCOT to segment our key Customer Experience and Supply Chain metrics such as SoROOS and LocalInStock through the year identify key opportunities to improve our system and process to deliver BestAtAmazon experiences for Customers throughout the year.
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 inventory availability for customers both nationally and regionally
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.
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 largescale complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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