The Economics Technology team (ET) applies Machine Learning, Causal Inference, and Economic Methodologies to derive actionable insights about the complex economy of Amazon's retail business and to develop algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.
This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists.
As the Sr. Business Intelligence Engineer, you will play a key role in creating a foundation for product vision and roadmap. You will need to collect information from business teams and build systems, dashboards, recommendations, and tools that have a global and lasting impact onour customers. You will balance excellent analytical and technical skills while clearly driving communication and collaboration with other key partners.
* · Analyze and extract relevant information from large and complicated data sets of structured and unstructured data to identify insights to influence product roadmap and business direction. * · Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support EconTech team. * · Collaborate with product, science and technical teams to consult, develop, and track KPI's, automated reporting/process solutions and data infrastructure improvements to meet product team needs. * · Serve as liaison between the product, science and technical teams to achieve the goal of providing actionable insights, and ad hoc investigations into future improvements. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.