Skills Required: Must have experience with: preparing and cleaning large and complex datasets on SQL; data analytics and dashboarding on tools including Microsoft Excel; Python script for scheduling and running weekly summary statistics for metrics tracking; Causal Interference to estimate business strategy impact; analytical dashboards using PowerBI, Data Studio, Tableau; statistical analysis tools - A/B testing, T-Test; customer analysis and predictive modelling; descriptive analytics - for predicting and tracking business metrics, dataset analysis; running machine learning models; data cleaning, pre-processing and data pipeline building; and programming languages including C, Python, R. Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.