1, daily data entry, sorting, classification and statistics;
2. Submit data analysis report;
3. Analyze the information provided by the cooperation department and the results of the questionnaire survey to form an effective analysis report;
It is mainly done with excell, and the basic work is these. Data hall, a lot of data is waiting for you to get it.
What do data analysis and data mining of consulting companies do? How is the treatment? There are many consulting companies, large and small, in China. What we do depends on the business of the specific consulting company. Generally speaking, the application of large consulting companies in data mining and data analysis is mainly in finance (banking, insurance, guarantee, etc. ), telecommunications, e-commerce and other industries, such as postal services. Typical applications mainly include default, fraud, rating, customer segmentation, marketing response, personalized recommendation and other topics. These random data mining books are all introduced.
Generally speaking, the development prospect of working in a consulting company is still very good, and the treatment depends on what level of consulting company you enter. This is hard to say.
What daily work does the clothing marketing data analyst do? Data analysis of general clothing companies can be divided into two categories: one is sales data analysis, and the other is goods data analysis.
First, the analysis of sales data can be done in details or in regions.
On the big side, it can be the data report of regional sales market, the data changes of the same competitive brand and the same regional market, such as the comparison and comparison of chain home. Small aspects may be specific to salespeople. Through the analysis of regional and individual sales data, it is concluded that sales individuals need training, promotion and motivation. So as to provide data support for the operation department and data analysis for the goods department. The operation department (or marketing department) makes the market plan according to the data analysis, and the goods department makes the goods distribution strategy according to the data. The company's top management makes development plans through data analysis.
Second, commodity information.
It can be divided into several links. 1, new goods sales data analysis. Adjust the loading rhythm, goods adjustment plan, goods promotion formulation and discount rate control through data tracking. 2. Inventory information, inventory monitoring and inventory early warning 3. The details of specific styles lag behind the statistics of sales styles and colors. Make product memos for buyers and provide information support for the display department. You can refer to unsalable goods and adjust the display mode of physical stores. 4. Analyze the sales data and purchase data over the years, verify and adjust the loading rhythm, seasonal change factors and purchase quota.
About the position of "data analyst" (data analyst in sales department and data analyst in product division of market research company)? If we only analyze EXCEL data, I think this prospect is not very good. It is recommended to learn some database-related software, such as O, etc.
As far as you are concerned, the professional qualification examination for data analysts is not bad. Might as well try.
How to analyze the data of supermarkets, and what aspects and data need to be analyzed? First, let's start with sales.
1, compared with the same period last year, inquire about the reasons for the decline in sales.
2, from the slow-moving goods query, mainly analyze the zero-sales goods.
3. Analysis of seasonal commodity sales.
4. Analyze the proportion of sales in each district.
5. Changes in sales volume during the promotion activities.
Second, start with the price system.
1, carefully study the price situation in the surrounding business districts and compare it with yourself.
2. See if the price setting is reasonable according to the gross profit.
3. Purchase price analysis
Third, starting from the commodity structure.
1, according to the purchasing power of various commodities to find out the shortage of commodities.
2, in the same series of suppliers to increase or decrease the impact on sales.
3, correctly grasp the "two, eight" principle.
In short, many problems can be found in the data, and even the change of store managers can be reflected in the data. Therefore, data is the basis of management, and many problems are reflected through data.
What should I learn in data analysis? Data analysis is originally a job that a person usually does with comprehensive quality. Without standards, there is naturally no distinction between intermediate and senior qualifications.
I suggest that you can go to more professional forums, such as: clothing forum, OFFICEFANS, ask your peers for advice, and discuss with your peers who are currently doing this, so that your progress will be faster.
There are quite a few books in Xinhua Bookstore. EXCEL tables are powerful, especially in mathematical statistics, which is worth studying.
What market data analysis do book companies need to do?