Business Intelligence Engineer SCOT - Automated Inventory Management
Business Intelligence Engineer SCOT - Automated Inventory Management
Posted on :
18-04-2025
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Job Description
The Supply Chain Optimization Technologies (SCOT) organization owns Amazons global inventory management systems: we decide what when where and how much we should buy to meet Amazons business goals and to make our customers happy. We do this for millions of items for hundreds of product lines worth billions of dollars of inventory worldwide. Our systems are built entirely inhouse and are automated largescale business operations inventory and supply chain planning and optimization systems. We foster new gamechanging ideas creating ever more intelligent and selflearning systems to maximize the efficiency of Amazons inventory investment and placement decisions.
The Automated Inventory Management team within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms metric bridges dashboards processes and workflow systems.
The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to . They will have strong communication and leadership skills will be able to collaborate with other teams (e.g. software development business owners product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing Data Architecture Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.
Key job responsibilities
Performing complex analysis to understand the behavior of automated inventory management systems identify the root cause of system / process issues and provide insight on potential solutions.
Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally
Assessing the endtoend suite of audits and identifying opportunities for enhancements and simplification working with other audit owners
Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms self service dashboard Single source of truth tables)
Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap
Developing dashboards and insight products
Fostering culture of continuous engineering improvement through blueprints mentoring feedback and metrics
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
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 in the data/BI space
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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
The Automated Inventory Management team within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms metric bridges dashboards processes and workflow systems.
The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to . They will have strong communication and leadership skills will be able to collaborate with other teams (e.g. software development business owners product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing Data Architecture Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business.
Key job responsibilities
Performing complex analysis to understand the behavior of automated inventory management systems identify the root cause of system / process issues and provide insight on potential solutions.
Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally
Assessing the endtoend suite of audits and identifying opportunities for enhancements and simplification working with other audit owners
Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms self service dashboard Single source of truth tables)
Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap
Developing dashboards and insight products
Fostering culture of continuous engineering improvement through blueprints mentoring feedback and metrics
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
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 in the data/BI space
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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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