This position applies economics to tasks provided by leadership for business questions by structuring hypotheses, researching questions, and providing advice using a deep understanding of neoclassical and behavioral economics. The role involves drawing conclusions from relevant work in existing academic literature, exploring observational data, ensuring the accuracy and integrity of the data, producing summary statistics, evaluating correlations and trends, and analyzing data using various advanced statistical, mathematical, and econometric techniques. The goal is to help drive business decisions by testing hypotheses, designing experiments, forecasting or predicting relevant outcomes using machine learning or artificial intelligence, and performing causal inference or building structural models for counterfactual analysis. The candidate will develop data pipelines and manipulate, analyze, visualize, and model large amounts of data in the appropriate language for the task at hand, such as SQL, Python, or R, by writing high-quality production-grade code. Communication of analysis and economic concepts through verbal and written communication, including data visualization, to both technical and business audiences is essential. The role also involves collaboration with cross-functional stakeholders to develop an understanding of complex business contexts, implement experiments, disseminate results and recommendations, and facilitate product or process changes in alignment with economic theory and analysis.
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Industry
General Merchandise Retailers
Education Level
Bachelor's degree