Business Intelligence Engineer, Supply Chain Execution
Business Intelligence Engineer, Supply Chain Execution
Posted on :
05-07-2025
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1 Vacancy
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Job Description
Storage and Distribution Center (SDC) and Amazon Warehousing and Distribution (AWD) Supply Chain Analytics is looking for a Business Intelligence Engineer. Our team plays an important role in building operating and scaling our SDC and AWD networks and shaping Amazons inbound supply chains long-term strategy. Our solutions address the needs of the inbound network in order to meet the speed cost and resiliency demands of our customers.
In this role you will be leveraging various analytic and visualization techniques to support data-driven storytelling and look around corners to continuously raise the bar on our business insights capabilities. You will collaborate across supply chain product tech and research science teams to meet the current and future needs of the business through data gathering automation standardization and reporting.
The ideal candidate is an individual with excellent analytical abilities and a creative mind to invent solutions in technical architecture business process and financial outcomes. The successful candidate will be a self-starter comfortable with ambiguity who has a strong attention to detail and enjoys working with large-scale data.
Key job responsibilities
- Deep dive into operations execution and business problems use analytical and statistical rigor to identify trends and opportunities and present written and verbal analyses to drive improvements
- Improve business results through creating best-in-class metrics analysis visualizations and data-driven storytelling
- Adopt best practices in reporting and analysis: data needs data integrity test design analysis validation and documentation
- Develop an understanding of the broad range of Amazons data resources which to use how and when
- 10 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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 $117300/year in our lowest geographic market up to $202800/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.
In this role you will be leveraging various analytic and visualization techniques to support data-driven storytelling and look around corners to continuously raise the bar on our business insights capabilities. You will collaborate across supply chain product tech and research science teams to meet the current and future needs of the business through data gathering automation standardization and reporting.
The ideal candidate is an individual with excellent analytical abilities and a creative mind to invent solutions in technical architecture business process and financial outcomes. The successful candidate will be a self-starter comfortable with ambiguity who has a strong attention to detail and enjoys working with large-scale data.
Key job responsibilities
- Deep dive into operations execution and business problems use analytical and statistical rigor to identify trends and opportunities and present written and verbal analyses to drive improvements
- Improve business results through creating best-in-class metrics analysis visualizations and data-driven storytelling
- Adopt best practices in reporting and analysis: data needs data integrity test design analysis validation and documentation
- Develop an understanding of the broad range of Amazons data resources which to use how and when
- 10 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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 $117300/year in our lowest geographic market up to $202800/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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