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

Amazon is seeking a Business Intelligence Engineer to join their Logistics Learning & Development Product Science & Analytics team. This role represents an exciting opportunity to shape the future of Amazon Logistics through data-driven insights and strategic initiatives. Working in one of the world's largest data warehouse environments, you'll be responsible for designing and implementing automated reporting systems and dashboards using complex datasets.

The position combines hands-on technical work with strategic influence, requiring someone who can translate data into actionable business insights. You'll work closely with Product Management, Training, and Program Management teams to deliver data solutions that drive business decisions. The role is particularly exciting as it's in its early stages, offering the opportunity to influence from design to execution.

As a BI Engineer, you'll need to be comfortable working with large-scale, complex datasets and possess strong technical skills in data mining, ETL processes, and analytics. The ideal candidate will demonstrate excellent analytical capabilities, business acumen, and strong communication skills. You should be self-motivated, adaptable to ambiguity, and thrive in a fast-paced environment.

The team serves AMZL's Learning teams as a strategic thought leader, focusing on developing transformative solutions that leverage technology and processes to improve learning outcomes while optimizing costs. This position offers competitive compensation ranging from $89,600 to $185,000 based on location, plus comprehensive benefits including medical coverage and 401k.

This role represents an excellent opportunity for someone who wants to make a significant impact on Amazon's logistics operations while working with cutting-edge data technologies and methodologies. You'll be part of a team that's driving innovation in one of the world's largest logistics networks, with the chance to influence how Amazon approaches learning and development through data-driven decisions.