NYC Staffing
Business Intelligence Engineer, SCOT Inventory Placement
NYC Staffing, New York, New York, United States, 10001
Business Intelligence Engineer
As a Business Intelligence Engineer within the Placement team, you will play a crucial role as a member of a high-performance and fungible Business Intelligence team. Your responsibilities include conducting end-to-end analytics at the intersection of various advanced Amazon systems, getting global visibility of how Amazon functions and serves our customers. Your curious mind will dive deep into complex systems, and create analytical tools that drive ever-greater scalability and optimization of every aspect of placement, removing cost and delivering speed of execution to thrill our customers. The impact of your work will be global, material and remarkable. Major responsibilities include: Design/Build/Scale Deep Dive into Systems Measure/Quantify/Expand Mentoring/Learning About the team: The Inventory Placement team within the Supply Chain Optimization Technologies organization seeks a Senior Business Intelligence Engineer to help evolve state-of-the-art algorithms that determine where each unit entering the Amazon Fulfillment Network worldwide should be placed to maximize shipping speed and minimize cost. Basic qualifications: 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data modeling, warehousing and building ETL pipelines Experience with data visualization using Tableau, Quicksight, or similar tools Experience writing complex SQL queries Experience in statistical analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred qualifications: 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 large-scale, complex datasets 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
As a Business Intelligence Engineer within the Placement team, you will play a crucial role as a member of a high-performance and fungible Business Intelligence team. Your responsibilities include conducting end-to-end analytics at the intersection of various advanced Amazon systems, getting global visibility of how Amazon functions and serves our customers. Your curious mind will dive deep into complex systems, and create analytical tools that drive ever-greater scalability and optimization of every aspect of placement, removing cost and delivering speed of execution to thrill our customers. The impact of your work will be global, material and remarkable. Major responsibilities include: Design/Build/Scale Deep Dive into Systems Measure/Quantify/Expand Mentoring/Learning About the team: The Inventory Placement team within the Supply Chain Optimization Technologies organization seeks a Senior Business Intelligence Engineer to help evolve state-of-the-art algorithms that determine where each unit entering the Amazon Fulfillment Network worldwide should be placed to maximize shipping speed and minimize cost. Basic qualifications: 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data modeling, warehousing and building ETL pipelines Experience with data visualization using Tableau, Quicksight, or similar tools Experience writing complex SQL queries Experience in statistical analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred qualifications: 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 large-scale, complex datasets 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.