Advanced Data Querying: Write efficient, complex SQL queries and Python scripts to extract, transform, and analyze data across diverse relational databases and cloud enterprise data warehouses (e.g., Snowflake, BigQuery, Redshift). · Predictive Modeling & Forecasting: Develop, validate, and maintain forecasting models and machine learning algorithms to predict client churn, net new assets (NNA), trade propensity, and client lifetime value.