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