What does it take to be a good business analyst?

The height of a data analyst directly determines the direction and influence of his data analysis. Just like fighting a war, business leaders look at the general trend and the overall situation. As a staff officer, you only pay attention to the gains and losses of one city and one place every day, even if you are strong and thorough in analysis, it is only a little in the eyes of the leader, and it is undoubtedly a fool's dream to affect the overall development of the business through such analysis.

Therefore, an excellent data analyst first needs to be able to stand on the same level as the leader. You need to know the business strategy of the whole company, and you need to understand the positioning and planning of the department in the strategy. Only by standing at this height, can you know what the business leaders care about, what problems and indicators will need special attention, so that you can carry out systematic data analysis.

The biggest difference between this systematic data analysis and the analysis of a business metric is that there is a clear correlation between the individual analyses, and the data alone allows business leaders to see the big picture. Any leader will love such a systematic tool, after all, it will become the easiest tool for them to control the overall situation. Once the business leader relies on data tools, the results of later analysis and recommendations will inevitably be taken seriously, so that the business development through data will become a matter of course.

Take the initiative to participate in the meetings of senior leaders, actively communicate at all levels, and take the initiative to understand the company's strategic planning and department positioning; Communicate with the core team of the business department to understand its current focus and the overall strategic direction and dynamics in the future; Gain an in-depth understanding of your department's business, and proactively understand the industry dynamics of competitors or leaders in your industry, and organize and summarize your own insights. <>

In this role, there are often requests for data and analysis from various groups in the company. Sometimes you are asked for this data, this analysis. But I don't understand why they want these things.

At this time, you need to communicate with them, help them figure out what problem they want to solve, what they want to do, and then translate it into what kind of data and what kind of analysis is needed to solve this problem. After working for a while, I gradually gained a certain understanding of the whole enterprise. I often think too much about my own things.

I also often flip through the things made by other groups. When I have time, I will communicate with people in the same industry to see what everyone is doing, how to do it, and what new things and new directions are available. <>

There are two interactive channels in an app: forum and circle. After the revision, the style of the forum has changed a lot, and if you only compare the usage time of the old and new versions of the app, the data of the new version is better. But after GA's advanced segmentation, it was found that the people on the forum moved to the circle, and because the circle itself was used for a longer time, it led to an increase in the duration from the overall point of view, but in fact, the old users were forced to leave, and this revision was actually a failure.

This analysis is a bit like the idea of economics: not only to look at the local change caused by one policy, but also to see how that local change affects other systems. Ordinary data statistics systems cannot accurately segment the population, so it is impossible to discover this deep-seated problem.

There is still a big difference between the two, both in terms of salary and the skills that need to be mastered. In fact, at first, there was no subdivision of these two professions, but with the development of the times and the increase in demand for this position, more and more people want to enter Internet companies, and the positions and their responsibilities are becoming more and more detailed.

The essence of an analyst's job is actually data analysis, and they all need to master data analysis tools, but data analysts are more applied, while business analysts are more theoretical.

If you want to be a business analyst, then your university major should be more economic, financial, business administration, statistics, and other business majors. If you are a data analyst, your major will be biased towards mathematics, statistics, computer science, etc., and the bias towards science will be more obvious.

If it comes to the content of the work, the business analyst is mainly responsible for the information collection and analysis of a project, putting forward purposeful plans and suggestions, and analyzing the company's strategy, business model, market environment, etc.

In the case of a data analyst, in general, it is a position that connects business and technology, and is responsible for daily data analysis and monitoring, which usually focuses on a business, and then familiarizes itself with the business by sorting out the reports of various links such as burying points and establishing business, and analyzes the user's behavior habits and optimizes the company's product benefits, so as to help the company's departments and colleagues improve their work ability and work efficiency.

Both of these occupations have higher salaries, but they have higher requirements for their majors, academic qualifications and qualifications. In addition, many companies will need such talents, such as consulting firms, information industry, financial services, banks and investment banks, etc.

The above is the general difference between the two professions.

There are many differences between them, such as different professional requirements and different job content. Business analysts are primarily biased towards economics and finance, business administration, mathematics, and statistics, while data analysts specialize in mathematics, statistics, and computer science. And business analysts are more business-oriented, while data analysts are more science-oriented.

So the two must be distinguished.

Business analysts are to analyze business content, the direction of the development of the enterprise and its business value for a series of analysis, data analysts mainly analyze data, to see the development of the company and some sales data, and then list these data, and then make a data report, this is their difference, the difference is still relatively large.

The difference is that a business analyst analyzes an industry and analyzes the future development of the industry, while a data analyst analyzes every piece of data, analyzes every piece of data, and uses data to judge future trends, which is the difference between data analysts and business analysts.

The professional requirements of these two professions are different, with business analysts focusing more on business, while data analysts focusing more on science; Their work content is different, data analysts generally do a variety of analysis and monitoring of daily data, and then make tracking and some analysis, business analysts, they are information collection and analysis of a certain project, and then put forward some plans and suggestions; The skills they master are different, the general business analysts are MBAs, they are very sensitive to various changes in the market, and the data analysts, they pay more attention to the company's products, and then drive growth through modeling, and they are also very strong in the ability to land, and they are also very tacit with various departments.

1. Responsible for the information collection and analysis of an independent project, and put forward targeted plans and suggestions; 2. Construct a business analysis framework for specific business topics, conduct full-dimensional business analysis (such as competitive information, industry market, upstream and downstream relationships), and complete analysis reports for CXO; 3. According to the relevant national guidelines, policies and decrees, use scientific methods to put forward practical strategic improvement plans for the company in a timely manner. 1. Responsible for daily data analysis and monitoring, and coordinate resources for tracking and in-depth analysis of abnormal situations; 2. Provide data support for various business departments (products, operations, marketing, advertising); 3.**User behavior and habit characteristics to optimize the company's product revenue.

Drive business growth.

Summary. Hello, glad to answer for you. Business analysts in China have Fudan University, NYU Shanghai, and Peking University's Guanghua School of Management.

Hello, glad to answer for you. Business analysts in China have Fudan University, NYU Shanghai, and Peking University's Guanghua School of Management.

Fudan University, 19 years also opened a master's degree in business analysis. The duration of the school is also two years, and the teachers have a rich professional background, from statistics, information management, marketing, management science, finance, logistics management, computer science and other majors. However, the family does not accept students in the Graduate School Entrance Examination for the time being, and only students who win the summer camp selection arranged by the project can be exempted.

Other universities that offer this major include Guanghua School of Management of Peking University, New York University of Shangsong and Suihai, and so on. On the whole, because business analysis is a new and popular major in China, there are few schools, high demand, and fierce competition. For students who are studying the top students, it is possible to succeed, but for ordinary students, it is actually quite difficult to take the master's degree in this major.

The history of the business analysis major in China is still very short, and if you check the documents, you will find that there is no business analysis major in the 2005 Xiaowang Wu Erqiao Liquid Supplemental Revision of the "Catalogue of Disciplines and Majors for Conferring Doctoral and Master's Degrees and Cultivating Graduate Students". Therefore, if you look up the information of the master's program of this major on the commonly used Chinese degree and graduate education information website, it will be difficult for you to gain anything.

To be a good business analyst, you should do the following:

1. Rigorous logic, sensitive to data, curiosity and responsibility, good work initiative, and strong communication skills;

2. Have certain Internet work experience and have a strong interest in Internet products;

3. Received basic statistical training and a certain database language foundation;

4. Proficient in the use of Excel, SPSS or similar data analysis and statistical analysis tools;

5. Have excellent PPT writing ability, proficient in using GA, R language, etc.

To be a good business analyst, you should do the following:

1. Rigorous logic, sensitive to data, curiosity and sense of responsibility, good motivation and strong communication skills;

2. Have certain Internet work experience and have a strong interest in Internet products;

3. Received basic statistical training and a certain database language foundation;

4. Proficient in the use of Excel, SPSS or similar data analysis and statistical analysis tools;

5. Have excellent PPT writing ability, proficient in using GA, ruler Wu R language, etc.

To be a good business analyst, you should do the following:

1. Rigorous logic, sensitive to data search, curiosity and sense of responsibility, good work initiative, and strong communication skills;

2. Have certain Internet work experience and have a strong interest in Internet products;

3. Received basic training in the science of the unified brother and has a certain database language foundation;

4. Proficient in the use of Excel, SPSS or similar data analysis and statistical analysis tools;

5. Have excellent PPT writing ability, proficient in using the sedan car GA, R language, etc.

1. Rigorous logic, sensitive to data, curiosity and sense of responsibility, good motivation and strong communication skills.

2. Have certain Internet work experience and have a strong interest in Internet products;

3. Received basic statistical training, and has a certain language foundation for data manuscripts.

4. Proficient in the use of Excel, SPSS or similar data analysis and statistical analysis tools;

5. Have excellent PPT writing ability, proficient in using GA, R language, etc.

Business Analyst Meaning:

A business analyst is one who understands business problems and business opportunities in the context of requirements and recommends solutions to support the organization in achieving its goals.

Business Analyst Job Description:

1. According to the different professional expertise and different fields involved, be responsible for the investigation and analysis of an independent project, and put forward targeted plans or suggestions by collecting pure empty wisdom and collating data and information, so as to complete most of the outcome documents independently and with high quality;

2. Assist high-level consultants to complete some modules of consulting or training projects;

3. Discuss and define problems with customers in a professional, logical and rational way on the spot and maintain close cooperation with them;

4. Communicate with customers, help customers understand and implement consulting suggestions, and assist them in solving practical problems;

5. Complete the follow-up return visit of the consultation process.

Business Analyst:

1. Responsible for the information collection and analysis of an independent project, and put forward targeted plans and suggestions;

2. Construct a business analysis framework for specific business topics, conduct full-dimensional business analysis (such as competitive information, industry market, upstream and downstream relationships), complete analysis reports and report to CXOs;

3. According to the national guidelines, policies and laws and regulations, use scientific methods to put forward practical and feasible strategic improvement plans for the company in a timely manner. (including but not limited to).

Business analysts generally come from two types of companies: one is Oak IT consulting companies, such as Accenture, IBM, HP, and Dell Service. The other type is the relatively large scale of Party A.

Because the IT department is very large, IT BA is needed to bridge the gap between business and IT. For example, Huawei.

If you want to know more about the difference between business analysts and business analysts, you can consult the CDA certification body, CDA is the professional abbreviation of data analysis professionals for all industries in the era of big data and artificial intelligence. Adhering to the new concept of advanced business data analysis and the new norms of the CDA Code of Professional Ethics and Conduct, global CDA licensees give full play to their data professional capabilities, promote scientific and technological innovation and progress, and contribute to sustainable economic development.