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 a Master's degree.
Preferred qualifications:
Advanced degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience with conceptualizing and implementing scalable data pipelines.
Experience with statistical packages (e.g., R, Python, etc.) to perform forecasting, segmentation, and classification.
Knowledge of basic statistics and commonly used statistical methods (e.g., hypothesis testing, regression, cohort analysis, etc.).
Strong data visualization skills, including building dashboards and visualizations for business reviews and executive-level presentations.