Business Intelligence Engineer , ADAT
Responder al anuncioDESCRIPTIONAre you interested in a high-impact role with exposure to senior leaders? The EU Process Systems Engineering (PSE) Team is seeking a customer-focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in Fulfillment Center Operations. Collaborating closely with Amazon Operations and data teams, you will be responsible for developing analytics dashboards, deep-dive tools, and influencing product roadmaps using data, AWS services, and other insights sources. Key job responsibilitiesTranslate customer and business opportunities into innovative BI solutions, and demonstrate a passion for working with extensive datasets to drive data-driven 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 cost-efficient 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). BASIC QUALIFICATIONSExperience in the data/BI spaceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience 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 modelingExperience with data modeling, warehousing and building ETL pipelinesExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience developing and presenting recommendations of new metrics allowing better understanding of the performance of the businessPREFERRED QUALIFICATIONSExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsExperience in Statistical Analysis packages such as R, SAS and MatlabExperience writing complex SQL queries#J-18808-Ljbffr
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