Description Are you passionate about transforming data into actionable insights and driving value across Amazon's External Fulfillment network? We're seeking a highly skilled, results-driven Business Intelligence Engineer to join our NA External Fulfillment Operations team. In this critical role, you'll develop analytical methods, dashboards, and KPIs to empower leadership with data-driven strategic decisions. This position is central to our automation key workstream, supporting a core operations team overseeing 30+ sites, with potential expansion to 200+ sites within 1-2 years. You'll play a crucial role in proactively managing risk and effectively communicating with 3P partners using action-based data. The ideal candidate excels at extracting data, building robust pipelines, identifying patterns, and translating complex information into compelling narratives. You'll need strong analytical skills, high judgment, and a deep understanding of business processes. Most importantly, you'll partner with a wide range of stakeholders to develop centralized data tools that serve diverse team needs, objectives, metrics, and risk profiles. As a member of our developed BI team, you'll benefit from a collaborative culture that emphasizes intentional skill development and provides wide opportunities for career growth. You'll work alongside experienced professionals in an environment that fosters innovation and continuous learning. If you're customer-obsessed, detail-oriented, and adept at systematically breaking down complex problems, we want to hear from you! Key job responsibilities Analyze and solve intricate business challenges, focusing on root cause identification and forward-looking opportunities. Design and implement efficient, testable, and maintainable BI solutions resilient to data quality issues. Leverage Redshift, Oracle, NoSQL, and other technologies to analyze and interpret large-scale datasets. Develop and optimize data models and ETL pipelines to support business growth. Create complex, optimized queries and data pipelines to transform raw data into meaningful reports and dashboards. Collaborate closely with business and operations teams to gather requirements and present insights. Enable data-driven decision making by aggregating information from multiple sources into actionable formats. Innovate new metrics and enhance existing ones to support evolving business processes and ensure long-term sustainability. Effectively communicate complex analyses and insights to stakeholders and business leaders, both verbally and in writing. Partner across multiple teams to create centralized data tools that address varied objectives and risk profiles. The successful candidate will have a proven track record in supporting Operations through advanced data mining and the creation of impactful front-end products, with a focus on automation and proactive risk management in large-scale, distributed networks Basic Qualifications - Bachelor's degree in Computer Science, Data Science, or related field. - 5+ years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, or similar technologies. - Proficiency in data visualization tools such as Tableau, Quicksight, or equivalent. - Demonstrated experience in data modeling, warehousing, and building ETL pipelines. - Strong SQL skills for complex data extraction and Python scripting for data processing and modeling. - Track record of developing and presenting impactful metrics that enhance business performance visibility. Preferred Qualifications - Master's degree in Business Intelligence, Finance, Engineering, Statistics, Computer Science, Mathematics, or equivalent quantitative field. - Experience with advanced forecasting techniques and statistical analysis. - Proven ability to manage data and analytics projects for large, distributed operations teams. - Strong stakeholder management skills and experience in cross-functional collaboration. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.