Requirements: English
Company: Amazon Italia Transport Srl
Region: Valera , Lombardia
The Same Day Speed Innovation team is at the forefront of business growth and innovation in EU. We''re revolutionizing the customer experience through faster delivery times and innovative fulfillment solutions. Our team sits at the crucial intersection of technology and operations, driving improvements across the entire Same Day delivery network. We''re seeking a senior technical product leader capable of defining and driving product vision while navigating ambiguous problem spaces to enhance our Same Day capabilities.Position Overview :In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provided Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker) to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment with minimum supervision. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, DEX, finance, operations, program managers and other data teams .Key job responsibilitiesAs a business intelligence engineer, you will / may :Be highly data driven, resourceful, customer-obsessed and team orientedUse latest AWS provided data analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker)Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluationDefine data driven approaches and metrics strategy to uncover new insightsHave a passion for sourcing, manipulating, and visualizing data to tell business storiesBe able to clearly communicate strategic findings and recommendationsTranslate complex, technical concepts into business terms and vice versaWork with engineering and data teams to support the development of tools and dashboardsBASIC QUALIFICATIONSExperience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.Experience with data visualization using Tableau, Quicksight, or similar toolsExperience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)Experience with scripting language (e.g., Python, Java, or R)Experience with SQLExperience in the data / BI spacePREFERRED QUALIFICATIONSMaster''s degree, or Advanced technical degreeKnowledge of data modeling and data pipeline designExperience with statistical analysis, co-relation analysis#J-18808-Ljbffr