Master's degree or equivalent in a quantitative discipline such as Math, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience working with marketing and media data and transformations required for analytics.
Preferred qualifications:
Experience delivering marketing mix modeling and Geo-Experiments end-to-end.
Understanding of Bayesian approaches and modeling frameworks.
Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.