Responsibilities :
Support predictive and advance analytics. Running of advanced analytic techniques, including but not limited to, multivariate regressions, discrete choice modeling, conjoint analysis, MaxdDiff, structural equation modeling, time-series / panel data methods, path analysis, factor analysis, or survival analysis. Interpretation and visualization of results. General Skills Experience with Python, R, mongo, Hadoop or SQL SPSS, Stata, SAS, R, or similar statistical package capabilities Experience with econometric modeling such as forecasting and time series Experience with statistical software systems, performing analysis, and working with outcome oriented data Experience with statistical analysis with advanced data management and statistical programming Experience with data visualization Experience in the implementation and coding of algorithmsSkillsExperience and Skill Set Requirements
Proficiency level in Universal Analytics and Google Analytics 4 ( all skills are must-have ) :
Setting Up Tracking : 20%
Creating Dashboards : 20%
Configuring Funnels : 20%
Data Analysis : 20%
Continuous Improvement : 20%
Must Have :