Bachelor's degree or equivalent practical experience.
8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
Experience with programming languages such as Python or R for data analysis and modeling.
Preferred qualifications:
Master's degree in Statistics, Econometrics, Data Science, Mathematics, or a related quantitative field.
Experience with various MMM techniques (e.g. Bayesian MMM, time series regression, Machine learning).
Experience in developing and implementing MMMs in a business environment, with understanding of statistical modeling techniques, including regression analysis, time series analysis, and causal inference.
Understanding of the digital advertising and measurement ecosystem (e.g. attribution, experiments, data clean rooms, server-side API).
Excellent communication skills, with the ability to present complex information to senior and C-level stakeholders.