Business Intelligence Engineer, External Fulfillment US, External Fulfillment
Business Intelligence Engineer, External Fulfillment US, External Fulfillment
Posted on :
09-05-2025
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1 Vacancy
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Job Description
Are you excited to turn data into actionable insights and bringing value to the External Fulfillment network We are looking for a selfdriven insightful resultsoriented Business Intelligence Engineer with strong analytical skills to partner with the NA External Fulfillment Operations teams and develop new analytical methods / Dashboards / KPIs (Performance Quality Compliance etc.) to help the leadership execute strategic decisions based on data.
The Business Intelligence Engineer should be able to extract data build data pipelines identify patterns and trends and should have the ability to convert pieces of data into meaningful stories to drive decision making. This position will enable high judgment excellent analytical abilities and understanding of the business processes. If you are passionate about customer obsession detail oriented and systematically break down problems with ease we would love to speak with you!
Key job responsibilities
Analyzing and solving business problems with focus on understanding root causes and driving forwardlooking opportunities.
Expert in building BI solutions which are efficient testable maintainable and resistant to data quality issues.
Analyzing and interpreting data with Redshift Oracle NoSQL etc.
Knows how to model data and design a data pipeline (ETL).
Develop complex and optimized query / data pipelines to extract gross data and transform it into meaningful reports / dashboards.
Interfacing with business and operations to gather and present data.
Enabling effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
Designing new metrics and enhance existing metrics to support the future state of business processes and ensure sustainability.
Communicating complex analysis and insights to stakeholders and business leaders both verbally and in writing.
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
Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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 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 Business Intelligence Engineer should be able to extract data build data pipelines identify patterns and trends and should have the ability to convert pieces of data into meaningful stories to drive decision making. This position will enable high judgment excellent analytical abilities and understanding of the business processes. If you are passionate about customer obsession detail oriented and systematically break down problems with ease we would love to speak with you!
Key job responsibilities
Analyzing and solving business problems with focus on understanding root causes and driving forwardlooking opportunities.
Expert in building BI solutions which are efficient testable maintainable and resistant to data quality issues.
Analyzing and interpreting data with Redshift Oracle NoSQL etc.
Knows how to model data and design a data pipeline (ETL).
Develop complex and optimized query / data pipelines to extract gross data and transform it into meaningful reports / dashboards.
Interfacing with business and operations to gather and present data.
Enabling effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
Designing new metrics and enhance existing metrics to support the future state of business processes and ensure sustainability.
Communicating complex analysis and insights to stakeholders and business leaders both verbally and in writing.
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
Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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 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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