Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
Preferred qualifications:
Experience translating analysis results into business recommendations.
Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
Experience selecting tools to solve data analysis issues.
Experience articulating business questions and using data to find a solution.