Bachelor's degree in a research or quantitative field (e.g., Mathematics, Statistics, Engineering, Bioinformatics, Economics, etc.) or equivalent practical experience.
3 years of experience designing, scoping, executing, and delivering research and analysis projects.
3 years of experience translating business problems into research questions and translating research findings and insights into marketing recommendations.
Experience managing research and measurement agencies.
Preferred qualifications:
5 years of experience as a marketing analyst using statistical techniques (e.g., hypothesis development, designing tests/experiments, and significance testing).
3 years of experience of statistical modeling and advanced measurement/analysis techniques (e.g., regression analysis, geo-experimentation, Brand/Conversion lift measurement, machine learning algorithms).
Experience in data querying languages (e.g., SQL) and tools to work with large complex data sets, and programming languages (e.g., Python) to run analysis.
Experience in using data for storytelling and presenting complex research findings to both technical and non-technical audiences and using analytical insights to guide media planning.