Data analysts sound tall? Understand these points before you decide whether to transform

I just did an activity recently , There are many fans , Everyone is chatting hot in the exchange group , I make complaints about it 、 dating 、 Exchange of experience . See some of the partners' problems are particularly typical ：

1、 Is there any General Certificate in the data analysis industry ？

2、 Salary level of data analysis

3、 The daily work of data analysts

4、 A useful tool for data analysis

5、 Free data source for data analysis

…

Everyone talked in the Group , Exchange experience with each other , Mutual demining .

Although I didn't reply to anything in the Group , I mainly want to hear your voices , Want to know what everyone thinks .

Now for these problems , I will make some simple responses .

1、 Is there any General Certificate in the data analysis industry ？

At present, there is no general certificate in the data analysis industry , The mainstream certificate is probably BDA、CDA、CPDA These three types of certificates

Comprehensive, CDA It is more worthy for data analysts who are not long in the industry to take the exam , Because on the one hand BDA There are many grades , The examination time is limited , On the other hand CPDA Is difficult , The demand is higher , And the course of examination is a little expensive , by comparison CDA The examination time is more flexible , And the exam content , Feeling CDA More systematic and targeted , So if you really want to take the exam, you can still take it .

But at present, the consideration of these three certificates is not great , Certificates still need time to be implemented . So the endorsement corresponding to the certificate , Personal practical experience is more important .

2. Salary level of data analysts

According to Shanghai 2021 The annual income of analysts can be seen from the data in , In the first tier cities , The salaries of data analysts are generally normally distributed , The range with the largest number of people is 20k-30k, The number of people accounts for 20.9%, Next is 6K-8K, The number of people accounts for 18.35, Therefore, the income gap is large , If it's from a big factory offer Or middle and senior positions in small and medium-sized companies , The basic salary is 20K The above , In addition, data analysts are also an experienced industry ,0-2 Average annual salary 9749 element ,3-5 year 12000 about ,8-10 year 21000 about . Generally speaking, most data analysts can achieve annual salary 20W, Compared with other industries, the income is considerable .

Data analysts sound tall ？ Understand these points before you decide whether to transform
And it is expected , future 10 year , The position of data analyst will grow 12.3%, All traditional enterprises are also seeking digital transformation , Therefore, the demand can be guaranteed . according to BOSS The data released shows that , In the past 12 In the months , There has been a 100,393 Data analyst positions released , On average, each position requires 39 Genius can fill —— It shows that the demand for data analysts is at a healthy level .

3、 The daily work of data analysts

Many young friends who are just getting started or preparing for transformation are curious about the daily work of data analysts ？

To sum up, we can use three words ： communicate 、 monitor 、 analysis

Data analysts sound tall ？ Understand these points before you decide whether to transform
The first is communication , Generally, when I first entered the industry , The main task faced by small partners is to help each demand side get the data they want from the database . But at this time, everyone also has a common problem , It's about doing whatever business you want , Don't ask clearly before doing , Don't use your brain , Pure data access tool .

Generally speaking, the best communication time is when the business needs you , At this time, you only need to ask a few more questions to understand the purpose of the business department for data , Types of requirements 、 The priority of needs 、 Dimension and indicator caliber of requirements , The later work will be much easier , It also helps you to better understand the business .

The second is monitoring , A very important job of data analysts is to monitor indicators , The monitoring results are usually presented through reports , For example, weekly report 、 Monthly report, etc , It is still a common self mockery “ elder male cousin 、 Elder female cousin ”.

But this is also an essential and time-consuming job , Present the purpose of monitoring indicator changes by making reports , But we should also get rid of blindly “ elder male cousin 、 Elder female cousin ” The job of , Sometimes through statements , It can let you know the overall situation of the business and the focus of leaders from the management level .

So this also puts forward higher requirements for our ability , That is the ability to visualize data . After all, compared with simple data listing , Charts can convey information more intuitively . Here, my most commonly used Kanban tool for thematic analysis is FineBI and Tableau, If you are interested, you can also learn more .

Finally, analysis , As the name suggests, data analysts analyze data , Its value also brings value to the business of the enterprise through data analysis , Here, it is required that you at least master the analysis model applicable to your industry , It can help us understand the business more efficiently . I have written a special article on the data analysis model here before , You can look at this 《 Data analysis commonly used 8 Kind of model 》

It's not enough after finding the problem , You also need to be able to propose solutions . What is your understanding of this problem ？ What conclusion do you have ？ How to solve it ？ How to coordinate ？ How to land it 、 replay 、 Evaluation results, etc

Therefore, it can be said that data analysis is only a means , solve the problem , Empowering the business is fundamental , This is why everyone says that data analysts must understand the business .

4、 A useful tool for data analysis

The first is data analysis tools ： To do data analysis, you need to know at least oneortwo programming languages , The most basic one is Excel and SQL, and R、SPSS、SAS These tools are targeted , Some companies require you to know these , So if you spend time learning these languages at the beginning of your career , It may narrow the scope of your job search , But skills don't weigh on you , If you master the basic programming language , Have time to learn more other languages , And more competitive .

Then because data analysts often make weekly and monthly reports , So at least one kind of visualization tool should be skilled , for example FineBI perhaps PowerBI.

Because I often make reports for , And require report Automation , These two tools are the most suitable enough .

among PowerBI Inherit office The interface of , Familiar with the operation interface , But the use threshold is high , In depth operation requires learning DAX Language 、M Language .

and FineBI It is a business centric self-service big data analysis platform ; Mainly for business and data analysts , Problem oriented exploratory analysis , It's easy to operate , However, secondary development needs to be strengthened .

5、 Data sources

When doing data analysis , In addition to collecting data by yourself , Generally, newcomers can't find a more suitable public data source , Used to do some data analysis and mining examples , But data is the basis of data analysis , So it's very important to get large and comprehensive data , So I also specially summarized some free data websites , You can inquire on demand .

National Social ： China Bureau of Statistics 、 Hong Kong government data center
Enterprise information ：EDGAR、 Tide information
Economy ： Zhongcai.com 、 The world bank 、FactSet
Internet ：CNNIC、SimilarWeb、 Dysprosium polymerization
E-commerce ： Ali Institute
Media ：CBO China box office 、 Ratings ranking
Mobile application class ： iresearch 、 The new list 、Tasking Data
Transportation and travel ： Gaode map China's road conditions 、 Beijing Institute of transportation development
These are good data websites , If there are other data websites, you are also welcome to share in the comment area

Finally, the codeword is not easy , Just pay attention , More digital dry goods , Let me share with you slowly ！