An Anaconda developer utilizes the Anaconda platform, a Python and R distribution for scientific computing, to create data science and machine learning applications. They manage libraries and dependencies within both Python and R environments. They utilize tools like Jupyter Notebooks for interactive computing and share their results with others. The developer also works with data visualization libraries such as Matplotlib and Seaborn. They might be responsible for big data processing, predictive analytics, and mathematical simulations. They ensure efficient data manipulation by using Anaconda's package management system and environment management, while adhering to best coding practices.