1. Collect data: obtain employee age information from company employee files, human resources systems or employee surveys.

2. Data cleaning: clean and sort the collected data, remove invalid and incorrect data, and ensure the quality and accuracy of the data.

3. Statistics of data: According to age groups, statistics can usually be divided into young people, middle-aged people and old people, such as 18-30 years old, 3 1-40 years old, 4 1-50 years old, 5 1 year old and so on.

4. Data analysis: analyze the statistical results, compare the number and proportion of employees at different ages, and understand the age structure of the company's employees.

5. Presentation of results: The analysis results are presented in the form of charts or words, usually in the form of pie charts, bar charts or tables, so as to visually show the age structure of the company.