Business intelligence Engineer, Optimal Inventory Health
Business intelligence Engineer, Optimal Inventory Health
Posted on :
23-07-2025
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1 Vacancy
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Job Description
SCOT Optimal Inventory Health (OIH) team manages Retail inventory health WW. We own products that identify and remove overstock inventory through multiple disposition channels Markdowns Deals Coupons Vendor Returns and Google Shopping Ads - across 20 marketplaces. OIH Insights Team provides analytic horsepower to drive OIH strategy. We do so by :
- Transforming raw complex datasets into intuitive and actionable insights to inform business decision.
- Building and maintaining modular scalable data models that provide the generality flexibility intuitiveness and responsiveness required for seamless self-service insights.
- Generating deeper insights through statistical modeling and machine learning.
We are looking for experienced self-driven and strategic Business Intelligence Engineer with superior analytical skills. This position is critical to build scalable BI solutions to support next-gen system transformation.
You will work partner closely with PMTs Scientists Economists Engineers to contribute to each layer of data solution (build data pipeline for scalable BI solution productionize self-service insights generation etc.)
Key job responsibilities
- Translating the business requirements to structured BI solutions.
- Designing and implementing BI technical solutions with the appropriate analytics strategy and data set design.
- Implementing data pipeline for Insights generation.
- Translating the raw data into meaningful insights through collaboration with Product Managers Data scientists and Data engineers.
- Structuring large scale complex analysis and performing the analysis to generate insights.
- Driving business actions through insights to accelerate the business and technical evolution.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience writing complex SQL queries
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
- Transforming raw complex datasets into intuitive and actionable insights to inform business decision.
- Building and maintaining modular scalable data models that provide the generality flexibility intuitiveness and responsiveness required for seamless self-service insights.
- Generating deeper insights through statistical modeling and machine learning.
We are looking for experienced self-driven and strategic Business Intelligence Engineer with superior analytical skills. This position is critical to build scalable BI solutions to support next-gen system transformation.
You will work partner closely with PMTs Scientists Economists Engineers to contribute to each layer of data solution (build data pipeline for scalable BI solution productionize self-service insights generation etc.)
Key job responsibilities
- Translating the business requirements to structured BI solutions.
- Designing and implementing BI technical solutions with the appropriate analytics strategy and data set design.
- Implementing data pipeline for Insights generation.
- Translating the raw data into meaningful insights through collaboration with Product Managers Data scientists and Data engineers.
- Structuring large scale complex analysis and performing the analysis to generate insights.
- Driving business actions through insights to accelerate the business and technical evolution.
- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience writing complex SQL queries
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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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