Come be a part of a rapidly expanding $25 billion-dollar global business. At Amazon Business (AB), we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of AB to buyers and sellers of all sizes, unlocking our potential worldwide.

This role can be based in any Amazon Business hub (Seattle, Dallas, Austin, HQ2, NY, Tempe). This is not a remote opportunity at this time.

This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the Amazon Business 3P team. The successful candidate will be able to build and maintain new data tables that help our business analysts and business leaders quickly access needed information. You will retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. This role requires an individual with analytical abilities and comfort with technical teams and systems. comfortable with ambiguity, with attention to detail, and enjoying working with large scale of data.

We already have a team of business analysts who expertly query existing data tables. We need someone to plan and build new data tables that make that process easier.

Key job responsibilities
a. Collaborate with data engineers, business analysts, sales, product, and technology teams in driving step function changes towards influencing seller experience improvements.
b. Collaborate with senior leadership to define and build new tables that track business performance over time.
c. Own data governance and stewardship for business critical metrics that influence technology investment decisions.
d. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.
e. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
f. Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
g. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reporting.