Through the sheep farming business, we can try to define a preliminary definition for analysts: data analysts are based on the understanding of the internal and external environment of the business, through data collection, statistics, and analysis, to put forward practical suggestions for the business and promote the implementation of the application. A position where the business obtains commercial gain. The three elements are based on data, advice, and gain benefits. Zhang Sanmad completed the basic data collection work; Zhang Ergou tried to analyze, but there was no conclusion; Zhang Dabing successfully got the conclusion. The three of them are also portrayals of analysts at three different levels in the workplace.
By definition, obtaining accurate data is the cornerstone; statistics and analysis are the means; making recommendations and obtaining business benefits is the ultimate goal. The role of an analyst is not just to count sheep, nor just to describe phenomena, but to clarify the purpose, use data arguments to think about business, and provide meaningful judgments and effective suggestions. 3. Ability Requirements Now we can start to break down the analyst's competency requirements from the bottom up by definition on the special leads conclusion of the above proposition. This article does not talk about the analysis method or the specific business.
In order to collect the data required for analysis, analysts are required to have basic data model modeling and embedded point design capabilities ; the data bottom layer does not require too much for analysts, and can roughly design table relationships and tables if necessary. Structure, buried points, and at the same time can communicate clearly with ETL/front-end requirements, which can be analogous to the product's technical understanding requirements. 2) In order to effectively analyze the data and get accurate conclusions, you first need to be familiar with various basic analysis methods/routines, and then understand the business .