Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
10 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics.
Preferred qualifications:
Experience with experimental design, training, data analysis, survey design, and statistical modeling.
Experience in designing and delivering data warehousing solutions to deliver business insights.
Ability to complete projects separately and work with cross-functional teams in a dynamic fast-paced environment.
Ability to apply statistical training to data.
Ability to retrieve data sets using tools and coding.