Business Intelligence Engineer, STEP Network Design Analytics
Business Intelligence Engineer, STEP Network Design Analytics
Posted on :
06-05-2025
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1 Vacancy
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Job Description
Have you ever wondered how to optimize one of the most complex logistics networks in the world How about how products on Amazon websites get delivered so fast and what kinds of algorithms and processes are running behind the scenes Are you a data driven individual interested in optimization explainability and like to solve problems If so this role if for you!
Amazons EU Global Transportation Services Network Design Analytics team is seeking a skilled Business Intelligence Engineer. Your role will focus on solving complex problems that impact our organization particularly in developing the logic that powers robust tools. You will be at the forefront of Network Design connecting scientific methods with data engineering practices to business working on advanced analytical solutions for optimizing Amazons transportation network. You will leverage strong technical skills to drive better models and simulations for Network Design.
We are looking for you:
You like to solve problems and have a technical curiosity
Are driven and have a strong interest in understanding how things work and how to improve them
Have immense attention to detail creativity and strong initiative
Are committed to high standards in code analytics and deliverables
Have persistent ownership: you are proactive and bring your own ideas to the table you collaborate with your peers and team to deliver results
You want to engage with various stakeholders inside the company
Key job responsibilities
Drives and owns the technical aspects of network optimization programs
Architects and automates ETL pipelines for design tools
Leverages AWS tools and build systems to ensure solutions are automated and robust
Leads strategies in optimizing network design
Works at the intersection of tech and business leveraging advanced tech skills with strong domain knowledge
Spearheads deep dives into hypotheses and anecdotes taking on peculiar challenges of the Amazon network
Brings strong insights and solutions to the table
Productionalizes models end to end for business use with real life impact
A day in the life
You will typically engage in a variety of activities starting from sprint planning which will lead to analyses developing tool logic and coding building and running models and simulations and driving projects with both tech and nontech stakeholders. You will participate in brainstorming sessions code reviews and analyzing results and may partake in higher visibility meetings to drive improvements and deliverables.
This will all roll up to impacting the transportation network with tangible positive improvements for the customer.
About the team
Our team is a very dynamic technical team where we value learning and development. We believe that learning by doing failing quickly to improve quickly and having ownership are the best ways to develop knowledge and grow in your career. We are structured by functional skills and we partner and learn from one another. We maintain strong relationships with stakeholder teams by delivering work of high standards.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience with data modeling warehousing and building ETL pipelines
Experience with data visualization using Tableau Quicksight or similar tools
Experience writing complex SQL queries
Bachelors/ Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
Experience with forecasting and statistical analysis
Experience in mathematical modeling and data science
Experience working as a BIE in a technology company
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
Amazon est un employeur engag pour lgalit des chances. Nous sommes convaincus quune main doeuvre diversife est essentielle notre russite. Nous prenons nos dcisions de recrutement en fonction de votre exprience et de vos comptences. Nous apprcions votre envie de dcouvrir dinventer de simplifier et de construire. La protection de votre vie prive et la scurit de vos donnes constituent depuis longtemps une priorit absolue pour Amazon. Veuillez consulter notre Politique de Confidentialit pour en savoir plus sur la faon dont nous collectons utilisons et traitons les donnes personnelles de nos candidats.
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.
Amazons EU Global Transportation Services Network Design Analytics team is seeking a skilled Business Intelligence Engineer. Your role will focus on solving complex problems that impact our organization particularly in developing the logic that powers robust tools. You will be at the forefront of Network Design connecting scientific methods with data engineering practices to business working on advanced analytical solutions for optimizing Amazons transportation network. You will leverage strong technical skills to drive better models and simulations for Network Design.
We are looking for you:
You like to solve problems and have a technical curiosity
Are driven and have a strong interest in understanding how things work and how to improve them
Have immense attention to detail creativity and strong initiative
Are committed to high standards in code analytics and deliverables
Have persistent ownership: you are proactive and bring your own ideas to the table you collaborate with your peers and team to deliver results
You want to engage with various stakeholders inside the company
Key job responsibilities
Drives and owns the technical aspects of network optimization programs
Architects and automates ETL pipelines for design tools
Leverages AWS tools and build systems to ensure solutions are automated and robust
Leads strategies in optimizing network design
Works at the intersection of tech and business leveraging advanced tech skills with strong domain knowledge
Spearheads deep dives into hypotheses and anecdotes taking on peculiar challenges of the Amazon network
Brings strong insights and solutions to the table
Productionalizes models end to end for business use with real life impact
A day in the life
You will typically engage in a variety of activities starting from sprint planning which will lead to analyses developing tool logic and coding building and running models and simulations and driving projects with both tech and nontech stakeholders. You will participate in brainstorming sessions code reviews and analyzing results and may partake in higher visibility meetings to drive improvements and deliverables.
This will all roll up to impacting the transportation network with tangible positive improvements for the customer.
About the team
Our team is a very dynamic technical team where we value learning and development. We believe that learning by doing failing quickly to improve quickly and having ownership are the best ways to develop knowledge and grow in your career. We are structured by functional skills and we partner and learn from one another. We maintain strong relationships with stakeholder teams by delivering work of high standards.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience with data modeling warehousing and building ETL pipelines
Experience with data visualization using Tableau Quicksight or similar tools
Experience writing complex SQL queries
Bachelors/ Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
Experience with forecasting and statistical analysis
Experience in mathematical modeling and data science
Experience working as a BIE in a technology company
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
Amazon est un employeur engag pour lgalit des chances. Nous sommes convaincus quune main doeuvre diversife est essentielle notre russite. Nous prenons nos dcisions de recrutement en fonction de votre exprience et de vos comptences. Nous apprcions votre envie de dcouvrir dinventer de simplifier et de construire. La protection de votre vie prive et la scurit de vos donnes constituent depuis longtemps une priorit absolue pour Amazon. Veuillez consulter notre Politique de Confidentialit pour en savoir plus sur la faon dont nous collectons utilisons et traitons les donnes personnelles de nos candidats.
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.
Employment Type
Full-Time
Key Skills
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