Our work is used by CEOs and CFOs of Fortune 500 companies, frequently cited in the media and analyst reports, and followed by policymakers and the public by offering a data-driven perspective on business activity in the United States.
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What You’ll Do
- In this role, you will use a combination of Ramp data, government data, and third-party datasets to build forecasts of common economic indicators, like inflation, unemployment, total retail sales, and manufacturing activity.
- You’ll apply common econometric methods (regression analysis, time-series models, nowcasting) to produce research-quality analysis and forecasts fit for publication.
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What You Need
- Currently enrolled in a Master’s degree or PhD program in Economics or Public Policy.
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries.
- Daily readership of business news, including traditional media (Wall Street Journal, Financial Times) and new media (blogs and substack newsletters).
- Succinct writing.
Nice to Haves
- Previous experience using public and private data to build a forecasting model.