"Strong programming skills in languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, statsmodels) Proficiency in SQL for data extraction and manipulation from databases Knowledge of statistical modelling techniques such as linear regression, logistic regression, decision trees, and clustering Good understanding of MS Excel and PowerPoint Strong problem solving, business analysis and quantitative skills Ability to effectively communicate analysis insights to business stakeholders. Exposure to agile framework & project management. "