Senior Economist, Amazon Stores Finance ScienceJob ID: 2836638 | Amazon.com Services LLC
Are you seeking an environment where you can drive innovation? WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale. Our team owns sophisticated science capabilities for forecasting the WW Amazon Stores P&L, focusing on costs and the bottom line (profitability).
We are looking for an outstanding Senior Economist to lead new high visibility initiatives for forecasting the WW Amazon Stores P&L (focusing on costs and the bottom line). The forecasting models will be used to enable better financial planning and decision making for senior leadership up to VP level. You will build new econometric models from the ground up. The role will develop new driver based forecasting models for Retail related P&L lines that incorporate business drivers. The Sr Economist will also help generate new insights on how macroeconomic factors impact the P&L. This role will have very high visibility with senior leadership up to VP level.
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial planning and decision-making through economics. The ideal candidate combines econometric acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, economists, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.
BASIC QUALIFICATIONS- PhD in economics or equivalent
- Experience in applied time series and econometrics
PREFERRED QUALIFICATIONS- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in industry, consulting, government or academic research
- Experience in building analytic or scientific data products or solutions
- Knowledge of macroeconometric techniques
- Effective verbal and written communications skills
- Experience 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.
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