Senior Economist, Economic Impact Estimation
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Minimum qualifications:
- Master's degree in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business, Finance), or equivalent practical experience.
- 4 years of experience undertaking empirical analysis to solve product, business, or policy problems, with a focus on econometric or advanced statistical modeling.
- Experience in big data analysis including statistical/econometric software (e.g. R, Python, Stata) and data query language (e.g. SQL) to handle datasets.
- Experience in macroeconomics and macroeconomic modeling.
Preferred qualifications:
- PhD in Economics or a related field with a focus on labor economics, policy evaluation, industrial organization, or applied econometrics.
- 6 years of experience undertaking empirical analysis including investigating questions of economic impact measurement, ideally within the context of big technology companies or digital platforms.
- Experience with energy-related topics.
- Experience in causal inference methodologies and quasi-experimental designs.
About the job
The Google Economics Team provides actionable economic insights and tools to inform strategy and decision-making across Alphabet, and it engages externally on some of the most important policy questions of the moment. Within the team, our Macroeconomics and Economic Impact Reporting area decodes the macroeconomic environment in which Google operates and evaluates the economic and societal impacts of our businesses and investments globally.
Responsibilities
- Design and implement economic impact studies, employing economic methodologies to accurately measure Google’s economic impact across regional and global economies.
- Apply high-level proficiency in data manipulation, cleaning, and transformation of large, unstructured and complex datasets. Ensure data quality and integrity throughout the modeling process.
- Contribute to our monitoring of the wider macroeconomic environment and deliver incisive analysis on key topics, such as energy-related issues.
- Translate highly technical findings into compelling, clear, and impactful reports, publications and presentations for audiences, including executives, policymakers, external economists and the general public.
- Conduct advanced quantitative analyses using advanced econometrics techniques and statistical models.
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