Business Intelligence Engineer, Volume Planning Analytics Eu

OverviewSiga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.In this role you will design and deliver robust analytics, reporting, and automation for the Volume Planning teams across Europe.You’ll partner with cross-functional teams to turn business questions into scalable data solutions and insights, shaping the company’s strategic innovation program.You’ll work with data to improve performance visibility, build analytical models, and drive value for operations.This is a fast-paced, collaborative role with a clear impact on data-driven decision making and operational excellence.ResponsabilidadesDevelop analytical solutions that meet high standards of rigor and data integrityAdopt best practices in reporting, testing, validation, and documentationWrite high-quality code to retrieve and analyze dataAnalyze problems in context and design pragmatic analyses and automated metricsUnderstand data resources and when/how to use them for business valueDevelop analyses for business needs, not for analysis’s sakeAlign work with business objectives and deliver measurable valueImprove knowledge of Amazon’s business and data resourcesSupport BI and custom software development from requirements to deploymentMaintain and support deployed solutions, with ownership of issuesManage 1-2 main projects in parallelCollaborate with senior colleagues to integrate requirements into scalable systemsPresent solutions to stakeholders in weekly syncsLead testing guidance for stakeholders and ensure solution maintenanceRequisitos principalesExperience analyzing and interpreting data with xkdbapo Redshift, Oracle, NoSQLExperience with data visualization tools (Tableau, Quicksight, or similar)Experience with industry analytics tools and statistical methods (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI; t-test, Chi-squared)Experience with scripting languages (Python, Java, or R)Experience with SQLExperience in the data/BI spaceClear communication with cross-functional teamseye for detailanalytical problem solvingSQLPythonDW design

Experience with industry analytics tools and statistical methods (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI; t-test, Chi-squared) Experience with scripting languages (Python, Java, or R) Experience with SQL Experience in the data/BI space Clear communication with cross-functional teams eye for detail analytical problem solving SQL Python DW design