Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years work experience with an advanced degree.
Preferred qualifications:
Advanced degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Proficiency with statistical packages (R or Python) to perform forecasting, segmentation, classification, and exploratory data analysis, in addition to gathering and processing data through standard querying languages (e.g., SQL).
Knowledge of statistics and commonly used statistical methods (e.g., hypothesis testing, regression, cohort analysis) and data visualization skills, including building dashboards and visualizations for business reviews and executive-level presentations.
Ability to translate product questions into problem solving frameworks and combining business acumen and statistics to arrive at an answer.