Business Intelligence Engineer ADAT
Business Intelligence Engineer ADAT
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Are you interested in a highimpact role with exposure to senior leaders The EU Process & Systems Engineering (PSE) Team is seeking a customerfocused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement innovation and in Fulfillment Center Operations. Collaborating closely with Amazon Operations and data teams you will be responsible for developing analytics dashboards deepdive tools and influencing product roadmaps using data AWS services and other insights sources.
Key job responsibilities
Translate customer and business opportunities into innovative BI solutions and demonstrate a passion for working with extensive datasets to drive datadriven decisions and build models that address critical questions for our stakeholders.
Manage intake coordinate and gather requirements from business partners to handle increased data volume and the demand for more costefficient and scalable data pipelines and tech solutions.
Prioritize initiatives design and implement technical solutions with appropriate strategies and design principles.
Identify design and create data pipelines to feed BI tools and dashboards.
Identify and develop metrics and KPIs and translate them into insightful dashboards using BI tools (i.e. QuickSight).
Data Warehousing & Data Engineering skills using AWS Services (S3 AWS Glue Redshift Lambda). API Data Ingestion
Proficiency in SQL Python (Java nice to have)
About the team
ACES Data Analytics Team (ADAT) supports the EU CF EU ACES teams EU ACES PMO Ops Process Engineering a by providing Data Products and horizontally scalable datasets to assist in answering the right business questions and tackle operational challenges with data. We strive for transparency and standardization of EU FC process performance and compliance metrics. Fully automated mechanisms for network performance and compliance rely on E2E input metrics portfolio is essential for model training identification of root causes and adequate onsite action.
Experience in the data/BI space
Experience with data visualization using Tableau Quicksight or similar tools
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with data modeling warehousing and building ETL pipelines
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience writing complex SQL queries
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.
Key job responsibilities
Translate customer and business opportunities into innovative BI solutions and demonstrate a passion for working with extensive datasets to drive datadriven decisions and build models that address critical questions for our stakeholders.
Manage intake coordinate and gather requirements from business partners to handle increased data volume and the demand for more costefficient and scalable data pipelines and tech solutions.
Prioritize initiatives design and implement technical solutions with appropriate strategies and design principles.
Identify design and create data pipelines to feed BI tools and dashboards.
Identify and develop metrics and KPIs and translate them into insightful dashboards using BI tools (i.e. QuickSight).
Data Warehousing & Data Engineering skills using AWS Services (S3 AWS Glue Redshift Lambda). API Data Ingestion
Proficiency in SQL Python (Java nice to have)
About the team
ACES Data Analytics Team (ADAT) supports the EU CF EU ACES teams EU ACES PMO Ops Process Engineering a by providing Data Products and horizontally scalable datasets to assist in answering the right business questions and tackle operational challenges with data. We strive for transparency and standardization of EU FC process performance and compliance metrics. Fully automated mechanisms for network performance and compliance rely on E2E input metrics portfolio is essential for model training identification of root causes and adequate onsite action.
Experience in the data/BI space
Experience with data visualization using Tableau Quicksight or similar tools
Experience in analyzing and interpreting data with Redshift Oracle NoSQL etc.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience with data modeling warehousing and building ETL pipelines
Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience writing complex SQL queries
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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