Business Intelligence Engineer II, Maintenance Automation Platform
Business Intelligence Engineer II, Maintenance Automation Platform
Posted on :
17-05-2025
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1 Vacancy
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Job Description
Amazon is looking for a Business Intelligence Engineer to provide statistical and analytical insights from the vast array of services powering one of the worlds largest Reliability Maintenance Engineering (RME) platforms. As part of the Maintenance Automation Platform team we support the business in all aspects of the traditional automation pyramid and we collect store analyze and vend machine data to internal consumers within Amazons WW Fulfillment Network.
At a basic level the systems we manage link our lowlevel automation systems with the cloud and we work to align our solutions with industry standards and best practices throughout the automation pyramid from device level to the enterprise level. The more complex systems are leveraging Machine Learning and Big Data to drive predictive actions preventing downtime or defects in the material handling equipment and improving the Overall Equipment Efficiency of the installations.
This role requires an individual with excellent statistical and analytical abilities deep knowledge of business intelligence solutions and data engineering practices as well as strong business acumen and the ability to effectively collaborate with various teams across Amazon. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and driven by a desire to innovate in this space.
Key job responsibilities
Architect design implement and support a platform providing secured access to large datasets.
Interface with business customers and delivering omplete BI solutions.
Model data and metadata to support adhoc and prebuilt reporting.
Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
Analyze and solve problems at their root stepping back to understand the broader context.
Use data mining model building and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
Respond to high priority requests from senior business leaders.
Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for secondary datasets
The ideal candidate would have strong business acumen a restlessness to answer why questions excellent analytical abilities strong technical skills superior written and verbal communication skills and the ability to influence and lead crossfunctional teams. S/he would be a selfstarter comfortable with ambiguity able to think big (while paying careful attention to detail) and enjoy working in a fastpaced dynamic environment. Work closely with central RME teams and the broader BI and community.
About the team
The Maintenance Automation Platform (MAP) Team plays a critical role in ensuring that machinegenerated data leads to automated appropriate and effective proactive and/or predictive maintenance actions. Our objective is to mature and integrate core software tools into a unified Maintenance Automation Platform.
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with SQL
Experience in the data/BI space
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 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.
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.
At a basic level the systems we manage link our lowlevel automation systems with the cloud and we work to align our solutions with industry standards and best practices throughout the automation pyramid from device level to the enterprise level. The more complex systems are leveraging Machine Learning and Big Data to drive predictive actions preventing downtime or defects in the material handling equipment and improving the Overall Equipment Efficiency of the installations.
This role requires an individual with excellent statistical and analytical abilities deep knowledge of business intelligence solutions and data engineering practices as well as strong business acumen and the ability to effectively collaborate with various teams across Amazon. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail an ability to work in a fastpaced and everchanging environment and driven by a desire to innovate in this space.
Key job responsibilities
Architect design implement and support a platform providing secured access to large datasets.
Interface with business customers and delivering omplete BI solutions.
Model data and metadata to support adhoc and prebuilt reporting.
Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
Analyze and solve problems at their root stepping back to understand the broader context.
Use data mining model building and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
Respond to high priority requests from senior business leaders.
Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for secondary datasets
The ideal candidate would have strong business acumen a restlessness to answer why questions excellent analytical abilities strong technical skills superior written and verbal communication skills and the ability to influence and lead crossfunctional teams. S/he would be a selfstarter comfortable with ambiguity able to think big (while paying careful attention to detail) and enjoy working in a fastpaced dynamic environment. Work closely with central RME teams and the broader BI and community.
About the team
The Maintenance Automation Platform (MAP) Team plays a critical role in ensuring that machinegenerated data leads to automated appropriate and effective proactive and/or predictive maintenance actions. Our objective is to mature and integrate core software tools into a unified Maintenance Automation Platform.
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
Experience with data visualization using Tableau Quicksight or similar tools
Experience with data modeling warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with SQL
Experience in the data/BI space
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 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.
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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