Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement and maintain all of the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey!
About the Role:
As the Business Intelligence Engineer II, Workforce Analytics, you will play a crucial role in driving data-informed decision making for the North America RME Strategy team. You will design and deliver analytical solutions that provide visibility into workforce effectiveness, headcount trends, and operational performance across our network of fulfillment centers, sortation centers, and last-mile delivery stations. This role offers a unique opportunity to develop both technical and strategic capabilities while shaping the future of RME's workforce analytics infrastructure.
What Do We Offer?
Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety!
Key job responsibilities
• You will design and maintain scalable reporting and analytical systems; including data models, SQL queries, and Python scripts that enable real-time tracking of workforce effectiveness, headcount trends, and operational performance across the RME network.
• You will develop comprehensive data visualizations and dashboards using tools like Amazon Quick, Microsoft Excel, and other visualization tools to surface workforce KPIs, attrition insights, and employee relations data for strategic decision-making.
• You will evaluate and integrate data across multiple systems — including learning and training tracking compliance systems, PXT systems, overtime, PRM (Parts, Repairs & Maintenance), Finance, and GPO data platforms — to build automated reporting solutions that support RME workforce planning initiatives.
• You will partner with stakeholders across HR, Finance, and RME Field Leadership to translate complex business questions into analytical frameworks, driving data-informed decisions at scale.
• You will support cross-functional initiatives and network-wide projects, with travel up to 15% to fulfillment centers, sortation centers, and last-mile delivery stations as needed.
A day in the life
Your day centers on driving data-informed decisions across the RME network. You'll start by reviewing ticket queues and updating project status in Taskei/Sim, ensuring alignment with quarterly roadmaps. Throughout the day, you'll build and maint