5 thoughts on “What is the data analyst of the consulting industry?”
Joel
Data analyst’s work responsibilities are to process and analyze the data collected to meet certain requirements. In systematic and scientific analysis methods or models. Some of the rules of the data are found, which provides a scientific basis for the leadership of enterprises and institutions.
The skill requirements of data analysts are:
1. Knowing business. The prerequisite for data analysis will need to understand business, that is, familiar with industry knowledge, company business and processes, it is best to have their own unique insights. Kite has no great use value. 2, understand management. On the one hand, the requirements for building a data analysis framework. For example, determine the analysis ideas, you need to use the theoretical knowledge such as marketing and management to guide. If you are not familiar with the management theory, it is difficult to build a framework of data analysis. Subsequent data analysis is also difficult to conduct Essence On the other hand, the role of data analysis conclusions put forward guiding analysis suggestions. 3, understand analysis. Refers to mastering the basic principles of data analysis and some effective data analysis methods, and can be flexibly applied to practical work to effectively carry out data analysis. The basic analysis methods include: comparative analysis, group analysis method, cross -analysis method, structural analysis method, funnel diagram analysis method, comprehensive evaluation analysis method, factors analysis method, matrix association analysis method, etc. Advanced analysis methods include: related analysis methods, regression analysis methods, clustering analysis methods, judgment analysis methods, main component analysis methods, factor analysis methods, corresponding analysis methods, time sequences, etc. 4, understanding tools. Refers to the commonly used tools related to data analysis. The data analysis method is theory, and the data analysis tool is a tool for realizing the theory of data analysis methods. Faced with increasingly larger data, we cannot rely on the calculator to analyze. We must rely on powerful data analysis tools to help us complete the data analysis work. 5, understand design. Understanding design refers to the use of charts to effectively express the analysis of data analysts, so that the analysis results are clear at a glance. The design of the chart is asked by the door university, such as the selection of graphics, the design of the layout, the color matching, etc., all need to master certain design principles.
Clash description: 1. Responsible for data analysis and report writing, report on customers or internal reports; 2. For the establishment of research models and standardized analysis templates for planning products; 3. Design questionnaires and follow up the investigation process throughout the process.
Requirements: 1. There are more abundant time; 2. Having experience in the telecommunications industry or with similar consulting companies; 3. Master intelligence analysis, data analysis, industrial analysis methods, proficient application analysis tools; 4. Strong text skills and analysis capabilities can independently carry out data analysis and establish an analysis model; 5. There are industry research report development. Writing experience and familiarity with writing 6. Love the consultation industry, learn the ability to learn, and the attitude of rigorous and responsible work; 7. Bachelor degree or above, telecommunications/it. MBA is professional priority.
“Big data analysts are a group of people who play data. The commercial value of playing data makes data become productive forces.” The biggest difference between big data and traditional data is that online, real -time, large -scale, large -scale and irregular forms There is no chapters to follow, so people who “play” are important.
1. The Internet industry is the most widely used industry in data analysis. Among them, e -commerce companies are currently the hottest, and the company also pays more attention to the value of data analysis. It is the ideal growth of data analysts. platform.
2, followed by consulting companies, they need data analysis talents, and relatively speaking, data analysts will grow faster and professional in consulting companies.
3, once again the financial industry, such as banks and securities industries, the industry’s dependence on data analysis is getting bigger and bigger.
4. Finally, the telecommunications industry (China Mobile, Unicom and Telecom). They have a large amount of data. Under severe competition, they pay more and more attention to data analysis, but the threshold for entering these companies is relatively high. Essence
It to learn more about data analysts, you can consult the CDA certification center. The CDA industry standards are jointly formulated by industry experts, scholars and well -known enterprises in the field of data in the field of data in the field of data. Those who pass the CDA certification exam can obtain the CDA Chinese and English certification.
Responsible for data analysis and report writing, report on customers or internal reports; establish research models and standardized analysis templates for planning products; design questionnaires, and follow up the investigation process throughout the process.
Personally, I think that the main thing is to conduct some deeper analysis of some industry issues and do some of the industry dynamics to make some assessment and prediction! Intersection Intersection
Data analyst’s work responsibilities are to process and analyze the data collected to meet certain requirements.
In systematic and scientific analysis methods or models. Some of the rules of the data are found, which provides a scientific basis for the leadership of enterprises and institutions.
The skill requirements of data analysts are:
1. Knowing business. The prerequisite for data analysis will need to understand business, that is, familiar with industry knowledge, company business and processes, it is best to have their own unique insights. Kite has no great use value.
2, understand management. On the one hand, the requirements for building a data analysis framework. For example, determine the analysis ideas, you need to use the theoretical knowledge such as marketing and management to guide. If you are not familiar with the management theory, it is difficult to build a framework of data analysis. Subsequent data analysis is also difficult to conduct Essence On the other hand, the role of data analysis conclusions put forward guiding analysis suggestions.
3, understand analysis. Refers to mastering the basic principles of data analysis and some effective data analysis methods, and can be flexibly applied to practical work to effectively carry out data analysis. The basic analysis methods include: comparative analysis, group analysis method, cross -analysis method, structural analysis method, funnel diagram analysis method, comprehensive evaluation analysis method, factors analysis method, matrix association analysis method, etc. Advanced analysis methods include: related analysis methods, regression analysis methods, clustering analysis methods, judgment analysis methods, main component analysis methods, factor analysis methods, corresponding analysis methods, time sequences, etc.
4, understanding tools. Refers to the commonly used tools related to data analysis. The data analysis method is theory, and the data analysis tool is a tool for realizing the theory of data analysis methods. Faced with increasingly larger data, we cannot rely on the calculator to analyze. We must rely on powerful data analysis tools to help us complete the data analysis work.
5, understand design. Understanding design refers to the use of charts to effectively express the analysis of data analysts, so that the analysis results are clear at a glance. The design of the chart is asked by the door university, such as the selection of graphics, the design of the layout, the color matching, etc., all need to master certain design principles.
Data analyst
Clash description:
1. Responsible for data analysis and report writing, report on customers or internal reports;
2. For the establishment of research models and standardized analysis templates for planning products;
3. Design questionnaires and follow up the investigation process throughout the process.
Requirements:
1. There are more abundant time;
2. Having experience in the telecommunications industry or with similar consulting companies;
3. Master intelligence analysis, data analysis, industrial analysis methods, proficient application analysis tools;
4. Strong text skills and analysis capabilities can independently carry out data analysis and establish an analysis model;
5. There are industry research report development. Writing experience and familiarity with writing
6. Love the consultation industry, learn the ability to learn, and the attitude of rigorous and responsible work;
7. Bachelor degree or above, telecommunications/it. MBA is professional priority.
“Big data analysts are a group of people who play data. The commercial value of playing data makes data become productive forces.” The biggest difference between big data and traditional data is that online, real -time, large -scale, large -scale and irregular forms There is no chapters to follow, so people who “play” are important.
1. The Internet industry is the most widely used industry in data analysis. Among them, e -commerce companies are currently the hottest, and the company also pays more attention to the value of data analysis. It is the ideal growth of data analysts. platform.
2, followed by consulting companies, they need data analysis talents, and relatively speaking, data analysts will grow faster and professional in consulting companies.
3, once again the financial industry, such as banks and securities industries, the industry’s dependence on data analysis is getting bigger and bigger.
4. Finally, the telecommunications industry (China Mobile, Unicom and Telecom). They have a large amount of data. Under severe competition, they pay more and more attention to data analysis, but the threshold for entering these companies is relatively high. Essence
It to learn more about data analysts, you can consult the CDA certification center. The CDA industry standards are jointly formulated by industry experts, scholars and well -known enterprises in the field of data in the field of data in the field of data. Those who pass the CDA certification exam can obtain the CDA Chinese and English certification.
Responsible for data analysis and report writing, report on customers or internal reports; establish research models and standardized analysis templates for planning products; design questionnaires, and follow up the investigation process throughout the process.
Personally, I think that the main thing is to conduct some deeper analysis of some industry issues and do some of the industry dynamics to make some assessment and prediction! Intersection Intersection