Business Analyst II, US3P F2 and Consumables Supply Chain
Amazon
DESCRIPTION
About the Role
The US3P organization is seeking a data-driven Business Analyst to join our US3P Fashion and Fitness, and Consumables Supply Chain team. In this role, you will be instrumental in driving operational excellence by analyzing complex supply chain data and providing actionable insights that improve seller performance and customer experience.
You will work with extensive datasets to identify trends, opportunities, and challenges within our supply chain operations, helping to shape strategic decisions and program development. This role requires someone who can translate complex data into clear, actionable recommendations that drive improvements in key metrics such as in-stock rates, delivery speed, and operational efficiency.
The ideal candidate combines strong analytical capabilities with business acumen, thriving in an environment where data-driven decision making is paramount. You will partner closely with program managers, operations teams, and senior leadership to develop insights that guide strategic initiatives and improve seller success on Amazon.
Key job responsibilities
• Build a data structure and reporting process by working through various business parameters, which establish truth in data
• Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders
• Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy
• Leverage data to increase the efficiency of our programs working closely with the business teams to drive optimization
• Update existing and create new metrics and reporting that help drive business conclusions, continually improving reporting and analysis processes
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions
• Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation)