Business Intelligence Engineer, Survey Science, People eXperience Technology Central Science (PXTCS)

Amazon's People Experience Technology Central Science (PXTCS) team is seeking a Business Intelligence Engineer to join their Survey Science team. This role combines data engineering, analytics, and business intelligence to help understand and improve employee experiences across Amazon globally. The position sits at the intersection of people analytics and data engineering, focusing on building scalable solutions for employee listening and insights.

The role offers an exciting opportunity to work with complex datasets and build solutions that directly impact Amazon's global workforce. You'll be part of the Central Science Team, which uses economics, behavioral science, statistics, and machine learning to improve both Amazon's operations and employees' work experiences. The team's interdisciplinary nature combines science, research, design, and engineering to deliver measurable improvements.

As a Business Intelligence Engineer, you'll be responsible for developing and maintaining data pipelines, creating analytical solutions, and building self-service tools that help stakeholders make data-driven decisions. The role requires strong technical skills in SQL, Python, and data visualization tools, combined with the ability to communicate complex findings to various stakeholders.

The position offers competitive compensation ranging from $89,600 to $185,000 based on location and experience, plus additional benefits including equity opportunities and comprehensive medical coverage. This is an excellent opportunity for someone who enjoys working with large-scale data sets, has strong analytical skills, and wants to make a meaningful impact on employee experience at one of the world's largest companies.

The ideal candidate will thrive in ambiguous situations, have strong problem-solving abilities, and be able to identify meaningful patterns in complex data. You'll work in Seattle, WA, collaborating with multiple teams to build and maintain critical business intelligence infrastructure that supports Amazon's employee listening programs.