How to become an excellent data analyst, what skills do you need to master?
What is a good data analyst?
Today, with the rapid development of big data, data analysts are not considered a new profession. But for the uninitiated, it's still a new term. In the past, people knew the most about the careers in the IT Internet industry as programmers, wearing plaid shirts, glasses, and carrying computer bags. So what is it like to be a data analyst as a member of the IT industry?
Data analysis, as the name suggests, is to analyze data, which sounds very simple. But our data analysts are not faced with one person or a few simple pieces of data, but tens of thousands of people with different data, referred to as massive data; calculations in seconds, the data that needs to be processed each time is dozens There are millions of pieces of data, and excellent data analysts can connect with the analysis of hundreds of millions of pieces of data.
The ability to process massive data is only basic, and excellent data analysts can obtain valuable data from it in combination with actual business: understand the operation of the enterprise, discover problems, propose solutions to problems, conduct risk assessment and prediction, understand the bank's Other corporate data and market trend forecasts can provide decision-making guidance for decision-makers, and they exist like corporate think tanks.
What are the characteristics of a good data analyst?
Data analysts need to face the analysis work of so much massive data, and the support of tools is definitely indispensable, but this is only the basic ability of the data analysis position. Excellent data analysts focus more on actual business analysis.
Ability to deeply understand business and be able to solve problems . For data analysts, the way to understand the business is to ask more questions and think more; communicate more with the business department to understand the progress of the business, the execution process, and the requirements for data analysis. What kind of feedback do you want to obtain? For the analysis needs issued by the leaders, it is also necessary to ask more questions to avoid one-sidedness and accuracy of the results.
To think more is not only to think about how to solve the problem, but also to understand the deeper meaning behind the problem. Seeing the essence through the surface is also the ability of an excellent analyst. It has a broader perspective, can give an analysis report that exceeds the expectations of the leader, and can also reflect the value of our data analysts.
Attribution analysis, cause location, find out key issues for analysis . Remember to look directly at the data when you get the demand, and be overwhelmed by unimportant data, which will eventually lead to loss of direction and useless work. Excellent analysts analyze and disassemble the problem as soon as they receive the problem, and determine the analytical thinking and direction in order to be targeted. There are two common methods of problem analysis: logical disassembly and hypothesis disassembly, and then verify the authenticity through data.
Data analysis ability, data sensitivity, can give better and faster solutions . Excellent analysts can see the principles and causes behind the data through the data, and can discover the company's business problems; through data exploration, they can dig out information such as changes, problems, reasons, and associations in business scenarios.
It is highly sensitive to subtle changes in key data, and can develop problems in a timely manner and predict trends; thus more effectively reducing costs and improving benefits for enterprises. For most companies with data analysis needs, cost control is the most important requirement for analysis positions; especially when problems arise in projects, effective solutions are provided to the leadership in a timely manner.
To improve efficiency, first make products with a high response rate, and then do the difficult parts. Simple first and then easy, this is also the strategy of data analysis.
How to become a good data analyst?
Do you know more about the profession of data analysis here? Do you want to join our team of analysts? However, you need to be interested in data with enthusiasm and rigorous thinking; at the same time, you must have basic analytical skills, learn to speak with data, and use data to solve problems; you must also have affinity and good communication skills.
Be a qualified data analyst before talking about excellence, but one thing to keep in mind is: skills are just tools, and good business capabilities are the basis of excellent analysts . Whether it is an ordinary analyst or an excellent analyst, data analysis cannot be separated from the business; pure data analysis is like building a car behind closed doors, meaningless, and the boss will doubt the value of your existence; nor can it be separated from the industry background, market, and users.
Therefore, in order to become an excellent analyst, it takes time to accumulate, project accumulation and in-depth understanding of more industries.
What skills do data analysis majors generally learn?
In terms of software tools : Common analysis tools include Excel, powerBI, MySQL, and Python. If you are proficient in these analysis tools, you can analyze the data of general enterprises; if you want to do big data analysis, you need to continue to learn Hadoop, machine learning, etc. Skill.
Proficiency in analytical thinking and methods :
1. Quadrant Analysis
2. Multidimensional Analysis
3. Hypothetical analysis
4. Index Analysis
5. Twenty-eight analysis method
6. Comparative analysis method
7. Structural Analysis
8 average analysis method
9. Cross Analysis
10 comprehensive evaluation analysis method
11. DuPont Analysis
12. Bucket diagram analysis method
"13, matrix correlation analysis method
14. Advanced Data Analysis Methods…
The most important thing about data analysis is analysis. Mastering the methods and thinking of data analysis will be more substantive help to the work. The tools are all dead, and the talents can be flexibly adjusted and changed at will. So if you want to learn data analysis well, you must cultivate your own data thinking, learn to speak with data, and not be subjective. Although it is a bit difficult in the early stage, as long as you persevere and have a clear goal, you will definitely be able to learn data analysis.
Finally, I want to say~~
For those who want to learn data analysis: any profession, if you want to become better, you need continuous learning. As a technical direction of the IT profession, data analysis is no exception, especially on the basis of continuous improvement of tools. The emergence of Chat GPT at the end of 2022 has caused a wave of programmers being replaced. AI can improve the coding work of some basic needs. Although it was later confirmed that there were still problems that required programmers to manually modify, but as a tool, the emergence of AI did threaten some basic front-line occupations, and the crisis of data analysis is that you are only doing a simple data analysis job. .
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