Amazon
Business Intelligence Engineer, GFP Analytics
Amazon, Seattle, Washington, us, 98127
Business Intelligence Engineer, GFP Analytics
Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the Global Fleet and Products (GFP) Analytics team is for you!We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We focus on everything from high-level to granular insights that drive entitlements (financial, time), safety and operational excellence outcomes, or strategic support of important initiatives such as the electrification of the Last Mile fleet.The GFP Analytics (GFPA) team is looking for a customer obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop strategic initiatives in the Last Mile space. As a BIE on the GFPA team, you will develop and lead new technical solutions and influence business-critical decisions across multiple organizations and geographies.To be successful in this role, you'll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations.This role is located out of Luxembourg.Responsibilities
Engineer critical input and output metricsCreate performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globeManage metrics across multiple projects simultaneouslyWork with product, technology, and analytics teams to support the development of tools and dashboardsCommunicate with and support various internal stakeholders and external audiencesLearn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and LambdaBASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the Global Fleet and Products (GFP) Analytics team is for you!We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We focus on everything from high-level to granular insights that drive entitlements (financial, time), safety and operational excellence outcomes, or strategic support of important initiatives such as the electrification of the Last Mile fleet.The GFP Analytics (GFPA) team is looking for a customer obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop strategic initiatives in the Last Mile space. As a BIE on the GFPA team, you will develop and lead new technical solutions and influence business-critical decisions across multiple organizations and geographies.To be successful in this role, you'll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations.This role is located out of Luxembourg.Responsibilities
Engineer critical input and output metricsCreate performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globeManage metrics across multiple projects simultaneouslyWork with product, technology, and analytics teams to support the development of tools and dashboardsCommunicate with and support various internal stakeholders and external audiencesLearn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and LambdaBASIC QUALIFICATIONS
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience in Statistical Analysis packages such as R, SAS and MatlabExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS
Experience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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