Bachelor’s or Master’s Degree in Mathematics, Statistics
Ability to understand a client’s marketing challenge, propose ideas of solutions to test, construct experiments, collect and clean data, perform statistical analysis or modeling, present to non-technical audiences.
Demonstrated ability to interpret research findings and develop meaningful conclusions and implications for clients.
Working knowledge or familiarity with discrete choice and conjoint models used to evaluate the potential business contribution of various new product and/or service scenarios (feature value/ product utilities and price utilities).
In-depth and substantial working knowledge of the implementation of time-series econometrics/marketing mix models in a marketing analytics context to measure and demonstrate the effectiveness of marketing investment.
In-depth and substantial working knowledge of the execution and implementation of predictive models--regression models (linear, time-series, logistic etc.,), machine learning algorithms, etc. in a marketing analytics context to drive business growth.
Demonstrated experience with management of large and complex databases. Substantial experience in SQL is a plus.