Description

　　Amazon Pricing builds exceptional tools used by hundreds of thousands of Sellers to offer unmatched value to millions of Customers all over the world. Our programs support billions of price updates every month, covering the majority of products sold in the Amazon store. We are continually innovating across Desktop, Mobile, and our suite of APIs to help Sellers set better prices at scale. As third party Sellers continue to make up a greater percentage of the sales in our store, it is critical for us to understand pricing drivers, trends, and insights that can help us improve our tools, and enable Sellers to set sharper prices for our Customers.

　　In this role, you will lead efforts to identify key global trends in pricing, and deep dive to uncover drivers, root causes, and actionable insights. You will present your work in a variety of forums, including documents that will be reviewed by L10+ stakeholders.

　　The ideal candidate loves to dive deep, on complex, multi-faceted problems, to influence business strategy. They have exceptional verbal and written communication skills, and technical proficiency in multiple analytics tools. They are motivated by collaborating with a diverse group of stakeholders, and are Customer obsessed.

　　Key job responsibilities

　　Key responsibilities will include:

　　Providing solutions that inform business decisions across the Pricing organization, and presenting these solutions to L10+ leaders.

　　Helping the organization to not just answer business questions on key pricing trends worldwide, but also to ask the right ones.

　　Setting the standard in business intelligence for the organization, establishing best practices, and aligning teams and orgs toward simple, coherent approaches.

　　We are open to hiring candidates to work out of one of the following locations:

　　Seattle, WA, USA

　　Basic Qualifications

　　10+ years of professional or military experience

　　5+ years of SQL experience

　　Experience programming to extract, transform and clean large (multi-TB) data sets

　　Experience with theory and practice of design of experiments and statistical analysis of results

　　Experience with AWS technologies

　　Experience in scripting for automation (e.g. Python) and advanced SQL skills.

　　Experience with theory and practice of information retrieval, data science, machine learning and data minin

　　Preferred Qualifications

　　Experience working directly with business stakeholders to translate between data and business needs

　　Experience managing, analyzing and communicating results to senior leadership

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.