Economist - Amazon Devices

Amazon
Seattle - United States
S: Competitive

The Amazon Device Business Analytics Team is looking for a passionate, Economist to lead the analysis of complex business questions that deepen our collective understanding of customers, influence innovation, and deliver actionable insights. Amazon.com has a culture of data-driven decision-making and demands insights and recommendations that are timely, accurate, and actionable. At Amazon, you will be working in one of the world's largest and most complex data environments.

The ideal candidate has outstanding business acumen, a restlessness to answer "why?" questions, excellent analytical abilities, strong technical skills, superior written and verbal communication skills, and the ability to influence and lead cross-functional teams. He/she will be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and will enjoy working in a fast-paced dynamic environment. He/she will work closely with Kindle Product, Marketing, Forecasting teams and with the broader BI community.

The ideal candidate will:
· Develop and enhance customer segmentation models
· Own the whole process of measuring field sales effectiveness; from data collection to modeling to working with internal customers of the data.
· Develop models to track and measure competitive actions, product road map, and business drivers to inform decision making
· Think creatively: Amazon is a place that is permanently pushing the boundaries of the industry. We are not looking for someone that will just estimate models and write analyses. We want someone that will extract insights and provide business recommendations
· Generate Impact: We want someone obsessed with impact. We don't want someone that is just interested in finding patterns in the data. We want someone that understands how to turn those discoveries into value for our customers every day.

Basic Qualifications
PhD in Statistics, Economics, Mathematics, Operations Research or related quantitative discipline
5+ years of professional experience in statistical analysis, data modeling or consulting
Experience with SAS, R, SPSS, Stata, Matlab or other statistical software
Strong communication, influencing and partnership skills
Solid business understanding, go to market strategies, financial planning, and key business performance drivers
Experience building, iterating, and validating predictive data models from scratch
Preferred Qualifications
Experience applying natural language processing techniques to large datasets to understand customers' preferences
Passion for analyzing and creating value out of data
Motivation to collaborate with a diverse and innovative team of engineers, analysts and business stakeholders
Passion about getting the consumer electronic products customers want, to them, when they want them
Exceptional analytical and statistical skills with the ability to extract insights from data and clearly communicate appropriate triggers and actions.
Strong creative thinking skills with emphasis on developing innovative solutions to complex problems that may not have one clear answer

Job summary