Business Intelligence Engineer, Amazon Business

Amazon Business represents a transformative opportunity in the B2B marketplace, operating at the intersection of technology and retail. As a Business Intelligence Engineer in the Amazon Business Flywheel Input (ABFI) Analytics team, you'll be instrumental in developing product and service pricing strategies for a rapidly expanding $35 billion-dollar global business.

The role involves building analytics and supporting data structures to analyze and innovate pricing strategies. You'll work closely with Product/Program Managers, Data Engineers, Scientists, Economists, and Software Development Engineers to solve complex business challenges. Key responsibilities include:

• Creating scalable solutions for business problems through close collaboration with cross-functional teams
• Developing program goals, metrics tracking, and managing through obstacles
• Identifying opportunities for process improvement and automation
• Building and managing business review metrics across different time frames
• Constructing data reports and dashboards using SQL, Excel, and other technical tools

The position requires strong analytical capabilities, with experience in data visualization tools like Tableau or Quicksight, and proficiency in SQL and Python. You'll be part of a team that owns the science and analytics for key Amazon Business problems, including price setting and selection additions.

The ideal candidate will demonstrate:

• Proven ability to develop and manage science models end-to-end
• Strong data mining and analytical skills
• Capability to facilitate big ideas from concept to execution
• Experience in managing medium-scale automation and modeling projects
• Ability to build mathematically grounded yet operationally explainable methodologies

This role offers the opportunity to make a significant impact on Amazon Business's growth while working with cutting-edge technology and data solutions. You'll be part of a team that's reimagining B2B purchasing and procurement, making history in the process.