At Amazon, a large portion of our business is driven by third party Sellers who control their own pricing decisions. Are you interested in helping define the data pipeline and self-service tools and driving insights for all Reference Prices shown on Amazon. These Reference Prices provide contextual information to Customers about pricing and improve conversion when strikethrough prices communicate a compelling discount to customers. We are looking for a seasoned Business Intelligence Engineer to help us build, report on and analyze metrics for our business. The Pricing team is responsible for the metrics that define price competitiveness and customer price perception today. We support all Amazon programs and geographies worldwide.
In this role you will identify and drive projects to increase Amazon's understanding and influence of pricing. You will develop regular business reporting to baseline current performance and deepen our insights across customer segments and product types. You will help to establish measurements that will be used when running experiments to measure the impact of the experiments on price perception. You will help to influence the development of new models that will influence the way we display products. You will collaborate across teams to develop capacity reporting for project and operational overhead for existing and emergent work-flows.
The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's varied pricing programs and processes. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion.
Amazon is one of the world's most trusted companies. Help us keep it that way.
· Work closely with the partner BIE, econ and ML teams to identify and address issues and opportunities.
· Facilitate and manage the Price Perception BIE sprint planning and execution process
· Analyze key metrics to uncover trends and root causes of issues.
· Build metrics to measure key inputs and output metrics that drive Amazon price perception
· Develop deep dive tools for key metrics.