Required Qualifications Bachelors or Masters degree in Finance, Economics, Data Science, Statistics, Mathematics, or a related field. 3 years of experience in data analysis, financial modeling, or a related role. Strong proficiency in Excel and financial modeling techniques. Experience with statistical programming languages such as Python, R, or SQL. Familiarity with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow). Experience with data visualization tools (e.g., Power BI, Tableau, or Looker). Knowledge of corporate finance, accounting principles, and valuation methods. Strong analytical, problem-solving, and communication skills.
