Sr. Business Intelligence Engineer, Customer Service Technology

Amazon is seeking a Senior Business Intelligence Engineer to drive data-backed experimentation and analytics in their Customer Service organization. This role sits at the intersection of customer service technology and data analytics, focusing on enabling self-service analytics and experimentation capabilities worldwide. The position offers an opportunity to work with large-scale data sets and implement cloud solutions while partnering with product teams and business stakeholders.

The role is part of a customer-obsessed team that maintains high standards for data quality and governance. You'll be responsible for designing experiments, building data pipelines, and developing self-service analytics tools that will impact Amazon's worldwide Customer Service organization. The position requires expertise in SQL, Python, and AWS technologies, along with strong knowledge of experimental design and statistical analysis.

The Business Intelligence team's charter focuses on four key areas: maintaining events standards and data enrichment, building self-service reports, enabling hypothesis testing, and supporting business analytics. This role offers competitive compensation based on geographic location, ranging from $117,300 to $202,800 per year, plus additional benefits including medical coverage, parental leave, and 401(k) plans.

The ideal candidate will combine technical expertise with business acumen, being able to translate complex data insights into actionable business recommendations. This is an excellent opportunity for someone who thrives in an environment where they can make data-driven decisions and impact customer service operations at a global scale.