A latent class analysis developer uses statistical methods to identify unobserved groups or "latent classes" within a larger population. They deal with data that isn't directly observable, but can be inferred from other observed variables. Their tasks include developing algorithms, writing code, and creating models to perform this analysis. They work with large datasets, often using machine learning and artificial intelligence to identify patterns and relationships. Their work supports decision-making in various fields, from marketing to healthcare, by providing insights into hidden subgroups that may show different behaviors, preferences, or characteristics.