Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, 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 partnering effectively on cross-functional projects or teams, with both technical and non-technical stakeholders.
Ability to perform analysis with limited direction (e.g. find drivers of unknown under performance of a product/segment).
Excellent project management and planning skills and ability to keep multiple priorities simultaneously.
Excellent problem solving, analysis skills, and business judgment, with the ability to identify vague and complex business problems and come up with robust analytical solutions.