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, Tensor Flow).
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.