Description Are 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 responsibilities - Translate 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). - Data Warehousing & Data Engineering skills using AWS Services (S3, AWS Glue, Redshift, Lambda). API Data Ingestion - Proficiency in SQL, Python (Java nice to have) About the team ACES Data Analytics Team (ADAT) supports the EU CF, EU ACES teams, EU ACES PMO, Ops, Process Engineering a by providing Data Products and horizontally scalable datasets to assist in answering the right business questions and tackle operational challenges with data. We strive for transparency and standardization of EU FC process performance and compliance metrics. Fully automated mechanisms for network performance and compliance rely on E2E input metrics portfolio is essential for model training, identification of root causes, and adequate onsite action. Basic Qualifications - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience 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 SQL - Experience in the data/BI space Preferred Qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Amazon 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.