Business Intelligence Engineer, AMZL L&D Product Science & Analytics

Join Amazon as a Business Intelligence Engineer in the NA AMZL L&D Product Science & Analytics team! In this pivotal role, you will help shape the next generation of Amazon Logistics by identifying and leading strategic initiatives. Dive into one of the world's largest and most complex data warehouse environments to design and build automated reporting systems and dashboards utilizing complex data. This is an exciting opportunity for a hands-on builder and influencer where your impact will be felt across the organization. Our success hinges on transforming data into actionable insights that drive our business forward. Key Responsibilities: Develop complex queries for ad hoc requests and ongoing reporting. Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards that meet our analytical and business needs. Implement and support key datasets that provide structured access to actionable business information. Engage directly with stakeholders to gather requirements and own automated end-to-end reporting solutions. Collaborate with data engineers, analysts, and software development engineers to create comprehensive data solutions. Simplify and automate reporting processes to maximize efficiency and self-service capabilities. Learn and understand a broad range of Amazon's data resources and effectively integrate them into your work. Estimate models, write analyses, and extract insights to provide strategic business recommendations. About the Team: We serve AMZL's Learning teams as strategic leaders, driving transformative solutions that leverage technology and processes to enhance learning outcomes while reducing operational costs. Basic Qualifications: 3+ years of experience analyzing and interpreting data with tools like Redshift, Oracle, or NoSQL. Proficiency in data visualization using Tableau, Quicksight, or similar platforms. Experience in data modeling, warehousing, and building ETL pipelines. Familiarity with statistical analysis packages such as R, SAS, or Matlab. Skilled in using SQL to extract data from databases and scripting (Python) for data processing. Preferred Qualifications: Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Background in data mining, ETL processes, and working with large-scale, complex datasets in a business environment. Amazon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require accommodations during the application or hiring process, please let us know. The base pay for this position ranges from $89,600/year in our lowest geographic market to $185,000/year in our highest geographic market, contingent upon knowledge, skills, and experience. Learn more about our total compensation package, which includes equity, sign-on payments, and a full range of benefits. This position will remain posted until filled. Interested candidates should apply through our career site.