Business Data Engineer, AMXL Europe (Hiring Immediately)

Amazon Extra Large (AMXL) is looking for a customer focused, analytically andtechnically skilled Business Intelligence Engineer to drive effectiveperformance measurement and management, innovation and execution in last miledelivery. This position will be responsible for building out analysis andvisualization tools and processes to support our growing Amazon Logisticsbusiness in Europe. The successful candidate will be owning part of the infrastructure and helpsinternal AMXL teams The Business Intelligence Engineer II (BIE II), is the single point of contactfor the AMXL BI Data Engineering (DE) Initiatives. This person is responsible for (1) managing intake, coordinating and gatheringrequirements from business partners from EU7 AMXL Network. With expansionmanaging an increase of data volume, and the need for more cost-efficient andscalable pipelines and tech solutions. (2) Prioritizing initiatives, (3)Design and implement technical solutions with an appropriate strategy and dataset design, and (4) Drive best practices in Operational Excellence. The successful candidate will be able to effectively retrieve, integrate,visualize and present critical data to Senior Leaders. This individual willwork with technical and business teams to optimize planning, execution,process improvement and track progress against goals. Key job responsibilities • Partner with internal stakeholders across multiple teams, gatheringrequirements and delivering complete solutions. • Partner with BIEs and Data Engineering teams to prioritize and define AMXLdata and BI development needs. • Work with in-house scientists, global supply chain, transportation andlogistics teams to identify new BI capabilities and projects. • Own a share of admin responsibilities for the teams Analytics Solution(Redshift cluster, Quicksight account, etc.). • Drive key tech strategical projects for the EU AMXL team. • Develop queries and visualizations for both ad-hoc requests and long termprojects, as well as recurrent business review reporting. ### BASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQLetc. - Experience with data visualization using Tableau, Quicksight, or similartools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse andscripting experience (Python) to process data for modeling - Experience with SQL ### PREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a businessenvironment with large-scale, complex datasets Amazon is an equal opportunities employer. We believe passionately thatemploying a diverse workforce is central to our success. We make recruitingdecisions based on your experience and skills. We value your passion todiscover, invent, simplify and build. Protecting your privacy and the securityof your data is a longstanding top priority for Amazon. Please consult ourPrivacy Notice (https:www.amazon.jobsenprivacy_page) to know more abouthow we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equalopportunity employer and does not discriminate on the basis of race, nationalorigin, gender, gender identity, sexual orientation, protected veteran status,disability, age, or other legally protected status. For individuals withdisabilities who would like to request an accommodation, please visithttps:www.amazon.jobscontentenhow-we-hireaccommodations.