Amazon Logistics is seeking a BIE Fleet Optimization FTC (6 month contract) to work in the EU Fleet Procurement and Capacity (FPAC) organization. .A successful BIE in this team will build tools and systems, and deliver critical insight to drive transformation alongside a team of Program Managers. The Fleet Optimization BIE will focus on introducing new metrics and answering the key question on what is the right way to measure our fleet utilization and manage our cost base. They will be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so.The position can be located in Madrid, London, Munich, Berlin, Paris or Milan.Key job responsibilitiesCreate innovative solutions using data and research to address wider challenges in your organisationTake a big-picture approach in your analysis of business operations, driving improvements across a range of teams and organisationsWork alongside senior leadership to establish and prioritise improvement programs, seeing them through from start to finishEnhance operational performance on every programs in partnership with your stakeholdersA day in the lifeThe Last Mile Rentals (LMR) expansion team work with external suppliers to bring to fleet sharing programs to Amazon Logistics. The role is at the forefront of enabling a more flexible fleet.We are open to hiring candidates to work out of one of the following locations:Madrid, M, ESP- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.Experience 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 modelingExperience with SQLExperience in the data/BI space- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftAmazon 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.
