Sr. Business Intelligence Engineer , GOX - Global Operational Excellence
Sr. Business Intelligence Engineer , GOX - Global Operational Excellence
Posted on :
30-05-2025
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1 Vacancy
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Job Description
Disrupting the way Amazon fulfills our customers orders.
Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery 2) at speed and 3) at the lowest possible cost. Being the engine of Amazon Operational excellence driving zero defects through ideal operation being the heart of the Fulfillment network and its center of excellence being proactive and aspiring for zero defects across the network with 100% organizational engagement.
We are seeking an experienced self-driven and strategic Sr. Business Intelligence Engineer (BIE) with superior data modeling and analytical skills. This position is critical in building scalable and generic data models that power our global operational excellence initiatives. You will be part of a dynamic team working alongside Applied Scientist Software development engineer and Data engineers all close to the business with Performance Management Leads part of the same team.
In this role you will contribute across all layers of our data solution ecosystem. Youll work closely with software development engineers to implement robust data infrastructure solutions collaborate with product managers to build scalable data models and dive deep into our data with a strong bias for action to generate insights that drive business improvements. Your work will directly impact Amazons operational efficiency and customer experience worldwide.
Key job responsibilities
- Translating business requirements into modular and generic data infrastructure implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building and handling large-scale datasets while creating maintainable efficient data components.
- Design and implement automation to achieve Best at Amazon standards for system efficiency IMR efficiency data availability consistency and compliance.
- Work within a sophisticated technical environment youll interface with various technology teams to extract transform and load data from diverse sources using SQL Amazon and AWS big data technologies.
- Youll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.
- Your role will be instrumental in driving operational excellence within the team building automation and mechanisms to reduce operations overhead and collaborating with peers in a group of talented engineers.
Strong verbal and written communication skills are essential as is the ability to deliver high-quality results in a fast-paced environment.
To succeed in this role you should have extensive experience in data engineering with large-scale systems expert-level knowledge of distributed systems and big data technologies and strong programming skills. Experience with real-time data processing and streaming architectures is essential as is a track record of building systems supporting ML operations at scale.
About the team
GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery 2) at speed and 3) at the lowest possible cost. Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.
The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazons global network. Join us in shaping the future of operational excellence at Amazon where your work will directly contribute to improving our worldwide operations and customer experience.
GOX team is part of EU STEP org that brings together Supply Chain Network Design and Transportation Planning teams to improve end-to-end forecasting network flow planning and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES) Learning Quality Service Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
- Experience with SQL data modeling ETL development and data warehousing
- Statistical Data analysis experience involving making hypotheses accessing and prepping data and drawing actionable insights
- Experience with AWS technologies (including Redshift S3 Lambda etc.)
- Coding experience in at least one modern programming language (Python Ruby Scala Java etc.)
- Ability to self-direct multitask and prioritize a constantly evolving workload.
- Proficient using at least one data visualization product (Tableau Qlik Amazon QuickSight Power BI etc.)
- Proven ability to meet tight deadlines multi-task and prioritize workload.
- Proven ability in Optimizing complex SQL queries.
- Experience working directly with business stakeholders to translate between data and business needs
- Masters degree in BI Finance Engineering Statistics Computer Science Mathematics Finance or related field required.
- Experience in designing and delivering cross functional custom reporting solutions.
- Proven ability in implementing BI engineering best practices (e.g. analytical rigor code quality data quality data modelling operational excellence automation visualization).
- Experience with R Python or other statistical/machine learning software.
- Be self-driven and show ability to deliver on ambiguous projects.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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.
Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery 2) at speed and 3) at the lowest possible cost. Being the engine of Amazon Operational excellence driving zero defects through ideal operation being the heart of the Fulfillment network and its center of excellence being proactive and aspiring for zero defects across the network with 100% organizational engagement.
We are seeking an experienced self-driven and strategic Sr. Business Intelligence Engineer (BIE) with superior data modeling and analytical skills. This position is critical in building scalable and generic data models that power our global operational excellence initiatives. You will be part of a dynamic team working alongside Applied Scientist Software development engineer and Data engineers all close to the business with Performance Management Leads part of the same team.
In this role you will contribute across all layers of our data solution ecosystem. Youll work closely with software development engineers to implement robust data infrastructure solutions collaborate with product managers to build scalable data models and dive deep into our data with a strong bias for action to generate insights that drive business improvements. Your work will directly impact Amazons operational efficiency and customer experience worldwide.
Key job responsibilities
- Translating business requirements into modular and generic data infrastructure implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building and handling large-scale datasets while creating maintainable efficient data components.
- Design and implement automation to achieve Best at Amazon standards for system efficiency IMR efficiency data availability consistency and compliance.
- Work within a sophisticated technical environment youll interface with various technology teams to extract transform and load data from diverse sources using SQL Amazon and AWS big data technologies.
- Youll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.
- Your role will be instrumental in driving operational excellence within the team building automation and mechanisms to reduce operations overhead and collaborating with peers in a group of talented engineers.
Strong verbal and written communication skills are essential as is the ability to deliver high-quality results in a fast-paced environment.
To succeed in this role you should have extensive experience in data engineering with large-scale systems expert-level knowledge of distributed systems and big data technologies and strong programming skills. Experience with real-time data processing and streaming architectures is essential as is a track record of building systems supporting ML operations at scale.
About the team
GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery 2) at speed and 3) at the lowest possible cost. Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.
The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazons global network. Join us in shaping the future of operational excellence at Amazon where your work will directly contribute to improving our worldwide operations and customer experience.
GOX team is part of EU STEP org that brings together Supply Chain Network Design and Transportation Planning teams to improve end-to-end forecasting network flow planning and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES) Learning Quality Service Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
- Experience with SQL data modeling ETL development and data warehousing
- Statistical Data analysis experience involving making hypotheses accessing and prepping data and drawing actionable insights
- Experience with AWS technologies (including Redshift S3 Lambda etc.)
- Coding experience in at least one modern programming language (Python Ruby Scala Java etc.)
- Ability to self-direct multitask and prioritize a constantly evolving workload.
- Proficient using at least one data visualization product (Tableau Qlik Amazon QuickSight Power BI etc.)
- Proven ability to meet tight deadlines multi-task and prioritize workload.
- Proven ability in Optimizing complex SQL queries.
- Experience working directly with business stakeholders to translate between data and business needs
- Masters degree in BI Finance Engineering Statistics Computer Science Mathematics Finance or related field required.
- Experience in designing and delivering cross functional custom reporting solutions.
- Proven ability in implementing BI engineering best practices (e.g. analytical rigor code quality data quality data modelling operational excellence automation visualization).
- Experience with R Python or other statistical/machine learning software.
- Be self-driven and show ability to deliver on ambiguous projects.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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.
Required Experience:
Exec
Employment Type
Full-Time
Key Skills
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