Data analysis techniques and software – Familiarity with any of the following data analysis techniques would be ideal: statistical significance testing, correlation analysis, multivariate analysis techniques (such as cluster/segmentation analysis ) and conjoint and discrete choice analysis. Data-driven critical thinker – You’re comfortable working with data to identify trends and insights, including both structured ( i.e. data and hard numbers) and unstructured ( i.e. interviews and qualitative) data.