Working with Excel files in Python presents challenges such as merged cells, date format handling, and encoding issues. Key strategies include preprocessing files, using the parse_dates parameter, and applying dropna and drop_duplicates methods. Validation checks and awareness of limitations with read_excel can enhance data processing efficiency with pandas.