Business Intelligence Engineer Inbound GCF ACES
Business Intelligence Engineer Inbound GCF ACES
Posted on :
28-04-2025
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1 Vacancy
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Job Description
The GCF ACES Capacity team is seeking a Business Intelligence Engineer to deliver insights and models to optimize the capacity of the NACF sortable and nonsortable network.
As a Business Intelligence Engineer you will collaborate with crossfunctional teams including Operations Engineering Supply Chain and Finance to identify monitor and measure programs that enhance our sortable and nonsortable networks capacity. You will be responsible for data analysis visualization dashboards and automation which directly impact Amazons ability to meet customer demands while optimizing operational costs. This role will serve as the technical owner of a network specific Max Mechanical Volume (MMV) model a critical tool that determines capacity thresholds and optimization opportunities.
Key job responsibilities
Understand the performance and operational characteristics of sortable (IXD & ARS) and nonsortable systems from inbound to outbound dock across all building generations
Own the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs.
Develop and provide analysis of actionable findings from key metrics or problems. This will require data gathering and manipulation synthesis and modeling problem solving and communication of insights and recommendations
Work with product and program managers to build data sets and other products that answer their specific business questions
Collaborate with Data Engineers (DEs) and Business Intelligence Engineers (BIEs) to create data pipelines and automate manual processes using scripting languages such as Python
Interface with technology teams to extract transform and load data from a wide variety of data sources
Lead deep dive analysis of business problems formulate conclusions and recommendations to be presented to senior leadership
Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
About the team
Our vision is to build tomorrows fulfillment network by revolutionizing how we predict and optimize capacity. The NACF ACES Capacity team is the source of truth for fulfillment network capacity spearheading evidencebased solutions and strategic decisions to ensure sustainable growth that outpaces customer demand. We utilize automated modeling and analysis to clearly understand existing under the roof (UTR) constraints. We leverage these insights to prioritize and implement hardware software and process changes which eliminate these bottlenecks. We are an organization of experienced dynamic and datadriven problem solvers who take the appropriate ownership of initiatives to guarantee their success. We are key partners of short mid and longterm planning teams providing the necessary inputs to make important business decisions which directly impact our customers. Our goal is to create a sustainable scalable framework that not only addresses immediate operational challenges but also anticipates and prepares for future growth. Through the integration of shortterm tactical planning and longterm strategic forecasting we are building a foundation that will enable Amazon to maintain its competitive edge while consistently exceeding customer expectations.
Though the Job Details state specific locations the ACES team is Field by Design and the role can therefore be based out of any Amazon location. Relocation is feasible but not required. Onsite presence is mandatory 5 days per week. Travel may be required up to 50 based on business demand.
2 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
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
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 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.
As a Business Intelligence Engineer you will collaborate with crossfunctional teams including Operations Engineering Supply Chain and Finance to identify monitor and measure programs that enhance our sortable and nonsortable networks capacity. You will be responsible for data analysis visualization dashboards and automation which directly impact Amazons ability to meet customer demands while optimizing operational costs. This role will serve as the technical owner of a network specific Max Mechanical Volume (MMV) model a critical tool that determines capacity thresholds and optimization opportunities.
Key job responsibilities
Understand the performance and operational characteristics of sortable (IXD & ARS) and nonsortable systems from inbound to outbound dock across all building generations
Own the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs.
Develop and provide analysis of actionable findings from key metrics or problems. This will require data gathering and manipulation synthesis and modeling problem solving and communication of insights and recommendations
Work with product and program managers to build data sets and other products that answer their specific business questions
Collaborate with Data Engineers (DEs) and Business Intelligence Engineers (BIEs) to create data pipelines and automate manual processes using scripting languages such as Python
Interface with technology teams to extract transform and load data from a wide variety of data sources
Lead deep dive analysis of business problems formulate conclusions and recommendations to be presented to senior leadership
Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
About the team
Our vision is to build tomorrows fulfillment network by revolutionizing how we predict and optimize capacity. The NACF ACES Capacity team is the source of truth for fulfillment network capacity spearheading evidencebased solutions and strategic decisions to ensure sustainable growth that outpaces customer demand. We utilize automated modeling and analysis to clearly understand existing under the roof (UTR) constraints. We leverage these insights to prioritize and implement hardware software and process changes which eliminate these bottlenecks. We are an organization of experienced dynamic and datadriven problem solvers who take the appropriate ownership of initiatives to guarantee their success. We are key partners of short mid and longterm planning teams providing the necessary inputs to make important business decisions which directly impact our customers. Our goal is to create a sustainable scalable framework that not only addresses immediate operational challenges but also anticipates and prepares for future growth. Through the integration of shortterm tactical planning and longterm strategic forecasting we are building a foundation that will enable Amazon to maintain its competitive edge while consistently exceeding customer expectations.
Though the Job Details state specific locations the ACES team is Field by Design and the role can therefore be based out of any Amazon location. Relocation is feasible but not required. Onsite presence is mandatory 5 days per week. Travel may be required up to 50 based on business demand.
2 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
Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
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 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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