What are the prospects of being a data analyst?

Let’s take a look at some data first. According to Liepin data, the average salary of data analysts is 20k+, and the average monthly salary of fresh graduates is 10k+. At present, data analysis capabilities have become an essential universal capability in various industries. Research shows that people with data analysis skills earn 30% more than the average person, while the unemployment rate of people without data analysis skills is twice that of the average person.

Data analysts not only have a huge advantage in salary, but this position will continue to have a huge gap in the future. According to authoritative predictions from McKinsey Consulting, China will need up to 2.2 million data talents in 2025.

McKinsey’s prediction is not groundless. We have investigated the number of data analyst recruitment in the current market. Taking boss direct recruitment as an example, the first screenshot shows the job demand for data analysts in Chengdu. You can see that the job demand for multiple data analysts is 10k+.

First of all, it is definitely very promising in terms of employment prospects.

After understanding the wide range of industry prospects and industry salaries of data analysts, we will now give you an in-depth analysis of the development and promotion path of data analysts.

In general, junior data analysts can develop in two directions: technical positions and non-technical positions. This actually means that you need to choose a direction in "business" or "technology". If a junior data analyst wants to get deeper into the business, there are two positions he can choose from, one is data operations and the other is data product manager.

Data operation is a branch of the operation position. The job responsibilities require understanding of the operation business model and the ability to optimize operation decisions through data analysis. Data product managers need to understand product business models and optimize product functions through data analysis.

If a junior data analyst chooses to develop in a technical direction, there are many positions to choose from, such as algorithm engineer, big data development, data scientist, etc. For the responsibilities of these positions, please refer to the following explanations.

1. Algorithm Engineer

Using mathematical statistics knowledge, programming and business thinking to build mathematical models is the soul of the product.

2. Data development engineer

Data engineers are technical positions and are responsible for building databases, processing data, maintaining data security, etc. They mainly serve data users, such as the above data analysts, data product managers and data modelers.

3. Data scientists

Data scientists are comprehensive talents, integrating data analysis capabilities (>data analysts), statistical foundations, business capabilities (>data products), algorithms ( >Algorithm engineer) and communication skills. This type of talent belongs to the top ranks in the data analysis industry, and has superb abilities in all aspects. However, this type of talent is quite rare, and is basically rare in the industry.

Finally, after talking about the career development direction of data analysts, let’s return to the most important nature of the industry. The most essential factor in choosing an industry or position is the track. This reason is very simple. People need to be in an industry where the ceiling is constantly rising, so that the ceiling of personal career development can follow suit. We all know that we can only run fast on a track with wide roads and no crowds, and we can only make more money in a market where capital is pouring into us.

To sum up, the employment prospects of data analysts are very good. If you want to become an excellent data analyst, you must first find your own direction, establish a career goal, and then gradually Master the necessary skills of a data analyst and continuously improve your application based on the basic operation of software.