Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
15 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
Preferred qualifications:
Experience with the technical aspects of analytics, data science, and statistical methodologies, data management, as well as analytical and data visualization software tools.
Experience working in an enterprise setting, with knowledge of Data Management market segment and competitive dynamics/customer adoption behavior.
Excellent communication skills, with the ability to communicate with both technical and business teams.
Excellent leadership skills with the ability to motivate a team.