Is there a good employment prospect for data analysts?

Let's look at some data first. According to the recruitment data, the average salary of data analysts is 20k+, and the average monthly salary of fresh graduates is 10k+. At present, the ability of data analysis has become a necessary universal ability for all industries. Research shows that people with data analysis ability earn 30% more than the average person, while those without data analysis ability have twice the unemployment rate.

Data analyst not only has a huge advantage in salary, but also has a huge gap in this position in the future. According to the prediction of McKinsey & Company, China will need as many as 2.2 million data talents in 2025.

McKinsey's prediction is not groundless. We investigated the number of data analysts in the market at present. Taking the direct employment of boss as an example, the first screenshot shows the number of job requirements of data analysts in Chengdu, and we can see that the job requirements of multiple data analysts are all in 10k+.

After understanding the broad industry prospects and industry salaries of data analysts, let's deeply analyze the development and promotion of data analysts.

Generally speaking, junior data analysts can develop in two directions: technical posts and non-technical posts. This is actually the need to choose a direction in "business" or "technology". Junior data analysts can choose two positions if they want to deepen their business, one is data operation and the other is data product manager.

Data operation is a branch of the operation post, whose duty is to understand the operation business model and optimize the operation decision through data analysis. Data product managers need to understand the product business model and optimize product functions through data analysis.

Junior data analysts can choose many positions if they choose the technical direction, such as algorithm engineer, big data development, data scientist and so on. For the responsibilities of these positions, please refer to the following instructions.

1, algorithm engineer

Using mathematical statistics knowledge, programming and business thinking to establish a mathematical model is a well-deserved product soul.

2. Data Development Engineer

Data engineer is a technical post, responsible for establishing database, processing data and maintaining data security, mainly serving data users, such as data analysts, data product managers and data modelers.

3. Data scientist

Comprehensive talents, a data scientist, combines data analysis ability (> data analyst), statistical foundation, business ability (> data products), algorithm (> algorithm engineer) and communication ability. This kind of talents belong to the top of the data analysis industry, and their abilities in all aspects are superb. But this kind of talent is quite rare, and it is basically impossible to meet in the industry.

Finally, after talking about the career development direction of data analysts, let's go back to the most important industry essence. The most essential factor in choosing an industry or post is the track. The reason is very simple. People need to be in an industry where the ceiling is rising, and the ceiling of personal career development can rise accordingly. As we all know, we can run fast only on the track with few roads and people, and we can earn more money only in the market with capital influx.

To sum up, the employment prospects of data analysts are very good. If you want to be an excellent data analyst, you must first find your own direction and establish your career goals, then gradually master the necessary skills of data analysts and constantly improve your application on the basis of software operation.