Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
2 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or work experience with a Master's degree).
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field.
3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
Experience with cross-functional work through the entire data product life-cycle advising and designing data infrastructure, defining success metrics and conducting experiments and statistical analysis to derive insights.
Excellent problem-framing, problem-solving and team collaboration skills.
Excellent communication skills, especially in communicating technical and statistical concepts clearly to cross-functional audience.