What skills do you need to become a data analyst?

With the development of the Internet, the characteristics of data analysts are becoming more and more obvious, and the requirements for the comprehensive quality of data analysts are also higher.

1. Strong data mining, information collation, and logical analysis capabilities

Data analysis is also a direction of data analysts.

It is a routine requirement to make daily business reports, dismantle company or industry KPI indicators, collect statistics, monitor and analyze, etc.

2. Proficiency in using data analysis tools

Such as Excel, SQL, Tableau, Python, etc.

If a worker wants to do a good job, he must first sharpen his tools. Since it is data analysis, the tools and skills of data analysis need to be mastered.

3. Composite knowledge reserve

Have an understanding of finance, computer, market, industry knowledge, etc., and be able to make valuable business analysis reports independently.

Data analysts have more business words than data analysts, indicating that they are more business and decision-making. In addition to routine data mining and analysis, it is also necessary to give analysis conclusions and reports from the dimensions of corporate decision-making and industry competition.

4. Capable of project management

Ability to integrate resources across departments and teams to make business judgments.

A pure data analyst may be positioned as a data retrieval machine. However, it is impossible for commercial data analysts to only focus on data retrieval.

Since it is necessary to make valuable business analysis reports and promote corporate decision-making, it must have the ability to cooperate and coordinate, be able to promote the development of projects, and give valuable business judgments.

The main positions are: data analysis manager, data management manager, data statistics manager, market forecast manager, account manager, market analysis manager, Internet data analysis manager, APP operation engineer, etc.

As shown in the picture below, on the recruitment website, every major factory has recruitment needs.

According to the statistics of a recruitment website, the income of business data analysts is also considerable, with an average monthly income of 22,373 yuan and a median monthly income of 20,149 yuan.

Annual income is also rising with career development.

Data analyst careers are in great demand in the domestic market.

Industry/enterprise big data that can easily reach hundreds of terabytes or even tens to hundreds of petabytes has far exceeded the processing capabilities of existing traditional computing technologies and information systems. Therefore, seeking effective big data processing technologies, methods and means has become an urgent need in the real world.

Which professions can engage in this career in the future?

Big data category: big data science and technology, big data management, etc.;

Statistics: economic statistics, financial statistics, applied statistics, biostatistics, etc.;

Mathematics: Mathematics and Applied Mathematics, Financial Mathematics, etc.;

Economics and management: econometrics, financial engineering, actuarial and even financial accounting, etc.;

Computer-related: e-commerce, information management and information systems.

How to get started as a data analyst?

Students who don't know how to learn data analysis can start with this learning route of Dark Horse.