The Amazon Devices Reverse Logistics (RL) team is seeking a highly skilled and motivated Business Intelligence Engineer to design and run a world class Global Supply Chain business intelligence platform. We are responsible for measuring the health and integration of the entire Devices Reverse Logistics Supply Chain.

The team is responsible for providing actionable performance metrics in a format that is easy to digest at the highest levels in the organization. These business metrics highlight areas of risk and opportunity, performance outliers, and assist in making well-informed, data-based business decisions. Using this information, we will help business leaders develop a strategy on what company-wide investments to make and the level of their importance.

As an Business Intelligence Engineer, you will be working in one of the world's largest data warehouse environments. Working in RL, you will help build one of the largest cross-functional databases in Amazon as well as work on Business Intelligence reporting and dashboarding solutions that are used by thousands of users worldwide.

You should have deep expertise in the design, creation, management, and business use of large datasets. An ideal candidate will have excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions.

You should have expertise in designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in a fast paced environment understanding the business requirements and implementing reporting solutions.

Above all, you should bring your passion for working with huge data sets and bringing datasets together to answer business questions and drive change.


Key job responsibilities
• Engage with leadership and diversified functional groups to understand the needs and recommend business intelligence solutions.
• Own the design, implementation, and maintenance of ongoing metrics, reports, analyses, and dashboards, to drive key business decisions.
• Partner with technology teams to define, extract, transform, and load data from many data sources using SQL and other tools.
• Automate and simplify self-service or reporting pipelines, including improving ETL workflows, automatic alarming and performance tuning.
• Conduct deep dive analyses of business problems and data issues and formulate conclusions and recommendations for leadership and technical teams
• Participate in strategic and tactical planning discussions and provide data insights. Challenge business teams to think differently about how they digest and use the data insights to make informed decisions.
• Make recommendations for new metrics, techniques, and strategies to improve business KPI's
• Be connected and influential within the Amazon BIE community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points.

AI-Related Responsibilities:
• Develop and implement AI/ML models to enhance predictive analytics capabilities and automate decision-making processes
• Lead the integration of generative AI tools to streamline reporting workflows and improve data visualization
• Design and implement AI-powered anomaly detection systems for early identification of business metrics deviations
• Create intelligent automation solutions using AI to reduce manual effort in routine data analysis tasks
• Partner with AI/ML teams to develop and deploy custom machine learning solutions for business-specific use cases
• Stay current with emerging AI technologies and evaluate their potential application in improving BI processes
• Build and maintain AI-driven self-service analytics platforms to democratize data access across the organization


A day in the life
* Understand a broad range of Supply Chain & Logistics data resources/processes
* Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
* Partner with Data Engineering and Software Development Engineers to define data and BI development needs
* Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive BI solutions.
* Synthesize requirements into technical specifications to solve ambiguous business problem and outline Analytics solution
* Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key business decisions
* Simplify and automate reporting, metrics and dashboards; build solutions to have maximum scale and self-serviceability by users
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
* Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities
* Lead and develop a team of Business Intelligence Engineers and Business Analysts

About the team
The DSCL Business Intelligence team is a dynamic and innovative organization that sits at the intersection of data analytics, business strategy, and technological advancement. As a critical enabler of DSCL's growth, our team combines deep analytical expertise with cutting-edge AI capabilities to transform complex data into actionable business insights.

Our vision is to be a trusted strategic partner, delivering world-class analytics that empower data-driven decision-making across the organization. We foster a culture of continuous innovation and operational excellence, consistently pushing boundaries to develop new solutions that address evolving business challenges.

Through collaborative partnerships with stakeholders and a commitment to talent development, we're building the next generation of analytical capabilities while maintaining our position as a leading provider of business intelligence solutions