Data analysts play different roles in enterprises of different types, scales and development stages:
In the early days of enterprise development, there were basically no data analysts. One reason is that the amount of data is small and problems can be found without too much analysis; Another reason is that the initial goal of Internet business development is very clear, and the number of users is the key. No matter what method is used, users will be obtained first, and then data analysis will be carried out.
In the middle stage of enterprise development, that is, the rising stage of business, a large number of data analysts are needed at this time, especially for enterprises without data product construction. At this time, the work of data products and data analysis is basically undertaken by data analysts: setting indicators, making reports, visualizing, analyzing and forecasting.
Paying attention to the construction of data products is an important factor affecting the development speed and quality of enterprises. The most basic duty of data analysis is to help enterprises see the status quo clearly. Enterprises that can't see the current situation clearly can't talk about long-term development.
After the enterprise grows, the data analysis team will be established, and the division of labor will be more clear. Data architect, data warehouse engineer, data product manager, data analyst, data mining, algorithm engineer, etc. * * * All these make up a strong data team.