Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field or equivalent practical experience.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
Experience with statistical packages (e.g., R, Python, etc.) to perform forecasting, segmentation, classification, and exploratory data analysis.
Experience articulating product questions, pulling data from datasets (SQL), and using business acumen and statistics to determine solutions.
Knowledge of basic statistics and commonly used statistical methods.
Excellent data visualization skills, including building dashboards and visualizations for business reviews and executive-level presentations.