Bachelor's degree in a research or quantitative field, or equivalent practical experience.
5 years of experience in designing, scoping, executing, and delivering research and analysis projects.
Experience in campaign measurement and using insights to guide media planning or working in digital marketing (e.g., Google Analytics, conversion lift studies, geo-experiments and multi-touch attribution).
Experience with data mining principles and querying data sets (e.g. using SQL for collecting data from multiple data systems).
Ability to communicate in English fluently to facilitate communication with internal stakeholders.
Preferred qualifications:
Experience with data visualization (e.g., Looker or equivalent BI tool).
Experience in market research principles (e.g. sampling question wording bias), as well as analysis of survey data (e.g., data segmentation and conjoint analysis).
Experience using data for storytelling and presenting research findings to both technical and non-technical audiences.
Knowledge of statistical modeling techniques like regression analysis (e.g., Linear, Logistic, Ridge).