Amazon's People Experience Technology and Finance team is seeking a Senior Business Intelligence Engineer to revolutionize machine learning and simulation capabilities at Amazon scale. This role combines advanced analytics with practical business applications, focusing on building a scalable, predictive, and prescriptive business analytics platform for Finance stakeholders. The position offers an opportunity to work with cutting-edge AWS technologies including Sagemaker, Redshift, and Amazon Q, while collaborating with talented scientists, engineers, and finance professionals.
The role involves developing sophisticated analytics solutions for financial forecasting, expense planning, and population dynamics modeling. You'll be responsible for creating KPI dashboards, implementing metrics systems, and driving key financial decisions through data-driven insights. The position requires expertise in both technical skills (Python, SQL, AWS) and business acumen, particularly in finance and cost analysis.
Working at Amazon, you'll be part of a dynamic team that values innovation and customer focus. The compensation is competitive, ranging from $117,300 to $202,800 based on location, plus additional benefits and equity opportunities. This role offers the chance to make a significant impact on Amazon's financial systems while working with state-of-the-art machine learning and analytics tools.
The ideal candidate will combine strong technical capabilities with business intelligence expertise, capable of translating complex data insights into actionable business strategies. You'll be at the forefront of implementing AI and ML solutions in financial analytics, working with large-scale data sets and advanced analytical techniques to drive business decisions.