How about business data analysis and management?

1) Business analysts are in great demand, with high salaries and good employment opportunities and prospects.

Look at the recruitment website, all major manufacturers have recruitment needs.

2) Business data analysis, or business analysts have higher requirements for comprehensive quality.

Strong ability in data mining, information sorting and logical analysis.

Business data analysis is also a direction of data analysts.

It is a routine requirement to make daily business reports, disassemble KPI indicators of companies or industries, make data statistics, monitor and analyze.

B, be able to skillfully use data analysis tools, such as Excel, SQL, Tableau, Python, etc.

Sharp tools make good work.

Since it is data analysis, you need to master the tools and skills of data analysis.

C, compound knowledge reserve, with knowledge of finance, computer, market, industry, etc. , and can independently make valuable business analysis report.

Business data analysts, more than data analysts, have the word business, indicating that they are more inclined to business and decision-making.

In addition to conventional data mining and analysis, it is also necessary to give analysis conclusions and reports from the dimensions of enterprise decision-making and industry competition.

D, with project management ability, able to integrate resources across departments and teams to make business judgments.

A simple data analyst may be positioned as a data retrieval machine.

However, business data analysts can't just focus on getting data. Since it is necessary to make valuable business analysis report and promote enterprise decision-making, it is necessary to have the ability of cooperation and coordination, promote project development and give valuable business judgment.

3) If you want to be an excellent business data analyst, you can make preparations in advance when you are a student.

A, study business administration, finance related courses, dabble in more, think more, and form some knowledge reserves and cognition.

B, improve data analysis, SQL, Python, R language, Tableau and other professional skills. You can study it carefully.

C, you can also read more industry analysis reports, or some big data reports released by professional organizations, and study the ideas of making reports and the analytical methods used.

D, if there is an opportunity, enter a large factory for internship. Although interns do the most basic work, during the internship, they can learn about workflow, organizational structure, BI report system and so on. Accumulate experience.