Data analysts utilize a broad spectrum of functions to manipulate, analyze, and interpret data. These functions span various categories, from data cleaning and transformation (including filtering, sorting, grouping, joining, handling missing values, and data type conversion) to statistical analysis (calculating descriptive statistics, correlations, regressions, and performing hypothesis testing). String manipulation functions enable analysts to work with text data, while date and time functions facilitate analysis of temporal data.