Data analyst job requirements

The most important thing for a data analyst is to have structured analytical thinking, business understanding and data analysis capabilities. Data analysts mainly have the following job requirements:

1) Structure chemical analysis capabilities. Have rigorous logical thinking ability and be able to systematically analyze a problem or a topic instead of analyzing certain points piecemeal. The analysis process is rigorous, reasonable and well-structured. When encountering a problem, you generally know where to start from, rather than just being confused. Be vague, make bold assumptions, and carefully verify. This is the most basic and important ability of a data analyst.

2) Business understanding ability. All data analysis must be based on the business, and an in-depth understanding of the business is essential. The insight into the business cannot be obtained by weak product managers and operations personnel. They must also be familiar with the data they have, serve as a bridge between data and business, and pay attention to business indicators. and work direction are also very important abilities.

3) Data analysis ability. Tools are used to assist data analysis. Data analysts cannot do without one or two handy data analysis tools, including excel, SAS, Python, R, SPSS, IBM modeler, etc. They must be familiar with SQL, Shell language, and Hadoop. , Spark and other big data architectures, understand popular machine learning algorithms such as logistic regression, decision trees, neural networks, etc., and be familiar with data warehouse knowledge. You don’t need to know a lot or depth, just enough for daily work.

4) Communication and expression skills. Be able to communicate well with the business side, explore the needs of business personnel, understand the work plans and directions of products and operations, conceive data products, be able to promote data-based operations, and be able to share and spread data-based operation thinking. It does not necessarily require how good you are. It's hard, but at least I can express my opinions clearly. An excellent data analyst should be able to tell stories, brag, and constantly expand the influence of himself and data analysis.

5) Creative thinking ability. Being able to proactively think about data application scenarios, creatively interpret the information contained in the data, propose creative solutions and suggestions, and innovate data applications. Few people have this ability, and those who have it will get great bonus points. Creative thinking comes from diligence. for thinking and a broad perspective.

6) Project promotion ability. There are few people who can promote the implementation of data analysis results, have corresponding methodologies, continuously quantify the success of data analysis, and expand the influence of data analysis.

7) Report writing ability. Being able to skillfully write data analysis reports, which are logical and beautiful, is a basic skill of an analyst. The work of a data analyst cannot be separated from various analysis reports.