On the level of data analyst

1, Data tracking staff

Although the person in this job is not yet known as a data analyst, but often do such work people also claim to be data analyst, such people, only through the XXX system to see limited data, and rarely to deal with data, and even do not understand the origin and meaning of data, but only mechanical to see the data copied out, Forwarded to the appropriate person.

This kind of person sends out the data, whether has the significance, how interprets, he does not know, can only expect to receive the data the person.

2. Data query Clerk/Handler

These people can be called analysts, they have a certain understanding of the data, for most of the data, they also know the definition of data, and can be monitored by the system or raw data, processing the data.

Statistical methods, this group of people or very proficient, statistical tools, they are also used up handy, you let them do a factor analysis, clustering is certainly no problem, all kinds of testing is also used in the perfection.

Their shortcomings are: 1, if they do not tell them the proposition, then they do not know what method to use to get the conclusion. 2, the data processing is no problem, but there is no good data interpretation capabilities. Data can only be interpreted in statistical terms.

3. Data Analyst

Data analyst This group of people, the data processing is not a problem, their focus has been translated into how to interpret the data, the same data, in the eyes of different people have inconsistent content.

Good data analyst, is able to find the problem through the data, accurate positioning problems, accurate to find the cause of the problem, for the next no improvement, find the opportunity point of person.

Often trained people, not in the processing of data, but in the interpretation of data, as to the combination of data and products, it is its more lack of capacity.

4, Data Application Division

Data applications, the word is rarely mentioned. But the application data is mentioned a lot, analysis of a large number of data, in addition to finding problems, there are many data can be restored to the product, for the product.

Typically, in the ecommerce Web site, the user's purchase data, viewing data and operation Records, is often a good starting point for their new products, and the data application is to pass their own analysis, to the corresponding product personnel should recommend what products, the possibility of buying the largest one conclusion.

Domestic can do this level of data personnel is really little pitiful, even most people even the view of the data are uncertain, and the real sense of the data application, can use data to make a product more simple university.

5. Data Planner

Data planners cannot say that water is much higher than data applications, but another direction that makes data worthwhile.

Often in the actual application, the data has its life cycle, used to analyze, the application of data is also, this point, especially in the Internet companies more obvious, a version of the update, may cause all previous data to a certain degree of failure.

Before a product design, the Data planner has analyzed what kind of data the product should record, what the data can be tracked, what data is recorded, what data can be used, and what value the product can produce.