Intern - Economics (FMF)

Amazon Economics is seeking Forecasting, Macroeconomics and Finance (FMF) Economist Interns who are passionate about applying time-series econometric methods to solve real-world business challenges. FMF economists interpret and forecast Amazon business dynamics by combining advanced time-series statistical methods with strong economic analysis and intuition. In this full-time internship (40 hours per week, with hourly compensation), you'll work with large-scale datasets to forecast business trends and inform strategic decisions, gaining hands-on experience that's directly applicable to dissertation writing and future career placement.Key job responsibilitiesAs an FMF Economist Intern, you'll specialize in time-series econometric analysis to understand, predict, and optimize Amazon's business dynamics. Your responsibilities include:- Analyze large-scale datasets using advanced time-series econometric techniques to solve complex business challenges- Applying frontier methods in time series econometrics, including forecasting models, dynamic systems analysis, and econometric models that combine macro and micro data- Developing formal models to understand past and present business dynamics, predict future trends, and identify relevant risks and opportunities- Building datasets and performing data analysis at scale using world-class data tools- Collaborating with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations- Tackling diverse challenges including analyzing drivers of growth and profitability, forecasting business metrics, understanding how customer experience interacts with external conditions, and evaluating short, medium, and long-term business dynamics- Build and refine comprehensive datasets for in-depth time-series economic analysis- Present complex analytical findings to business leaders and stakeholdersBASIC QUALIFICATIONS- - Applicants must be enrolled in at least the third year of a PhD program in Economics or a related quantitative field and not currently on the job market- - Proficiency in statistical programming languages (Stata, R, or Python)- - Strong foundation in econometric methods and statistical analysis- - Strong analytical and problem-solving skillsPREFERRED QUALIFICATIONS- Experience with SQL, UNIX, Sawtooth, and SparkAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Created: 2026-03-12