6 Reasons to Consider a Data Analyst Career
Miscellaneous / / August 29, 2023
What is data analytics
Every day people create 3.5 quintillion bytes of various information. This is information about transactions and payments, page movements, statistics on photo and video views in social networks, and much more.
Analytics looks for trends and patterns in huge datasets.
Thanks to it, user behavior becomes more understandable, and this opens up opportunities for better interaction with the audience. For example, with the help of analytics, the owner of an online store can see at what stage customers abandon a purchase, understand the reason and fix the problem. And the online publication will check which articles users never read to the end and rebuild the content plan.
Analytics is carried out by different professionals:
- Business analyst. Collects customer requirements for the product and translates them into a language understandable to engineers. The task of such a specialist is to analyze the client's business, find problems and propose a concept for their solution. In addition, you can work in a large company and build internal processes - for example, help prepare a sales plan.
- Systems Analyst. Develops software requirements. He also communicates with the customer and studies the market. But unlike a business analyst, he decides not what needs to be done, but how. For example, it prescribes technical requirements for developers.
- Data scientist specialist. Using machine learning algorithms, it processes large amounts of information that cannot be analyzed manually. He can build a mathematical model that can help him understand how to improve the logistics of a transport company, or guess what products will be popular next season.
- Data Analyst. Looks for and interprets patterns in data arrays in order to obtain valuable insights for the company. Unlike a data scientist, he analyzes the past behavior of users or customers.
If numbers and data appeal to you, a career in analytics might be the right fit for you. To understand in detail the specialties and understand what you like more, the free Yandex Practicum course will helpWhich profession to choose in data analysis». In the classes, you will learn what different areas of analytics study and what skills are needed for employment. The materials will be useful for both beginners and those who already work in the field of IT and want to better understand the world of data. You will see what specialists regularly face on projects, and you will be able to listen to the stories of those who managed to build a career.
Start learningWhy you should look into the field of analytics
1. The demand for analytics is growing
Companies are evolving and generating more and more data. Already today, about 16 thousand vacancies have been posted on the HeadHunter portal for data analysts and 5 thousand vacancies - for business analysts. But the need for specialists who know how to work with information will grow.
Experts expectthat by 2029 the value of the global big data analytics market will reach $655 billion, while in 2021 it was $241 billion. By 2026 in this area will appear about 11.5 million jobs. Not only Data scientists will feel good. For example, the business intelligence market is also will increase from $89 billion in 2023 to $131 billion in 2028.
2. These professionals are paid above average.
Median salary of Russians is 40 thousand rubles. Most offer in Moscow and St. Petersburg - 62.5 and 55 thousand, respectively. Income in IT is higher. In the first half of business intelligence received an average of 120 thousand rubles. Data analysts - 130 thousand. And system analysts were paid 174 thousand rubles.
The salaries of specific specialists in different regions may vary. For example, in Moscow analysts earn an average of 170 thousand rubles, in smaller cities - 130 thousand. In addition, experience is important - a beginner should hardly immediately count on a high income.
When choosing a profession, it is important to focus not only on the desired numbers on the payroll, but also on the level of competition. For example, the demand for data scientists may even exceed offer. At the same time, professionals in this field need a strong knowledge of mathematics and programming.
3. You can work not only in IT companies
Analysts are required in many niches - from education to trade. Moreover, even within the same industry, big data is used in different ways. Let's take medicine, for example. You can solve a routine problem and predict how many clients will visit the clinic over the weekend. And you can upload thousands of case histories to the neural network and globally improve diagnostics with the help of artificial intelligence. Banks use analytics to make individual offers to customers and predict force majeure. Data is needed even in agriculture. Let's say a data scientist can train neural networks that will allow farmers to monitor soil and detect crop diseases. This diversity gives the analyst the freedom to choose whether to focus on one industry or try different ones.
4. The sphere will develop, and specialists will grow along with it
Even some 10 years ago, only professionals spoke about machine learning. Today, it seems that not a week goes by without news about neural networks. There is always something innovative in IT. For example, now big data is "intertwined" with other technologies - virtual and augmented reality. And this symbiosis exists not only in the entertainment industry – there are startups that develop VR and AR in medicine, education, and even heavy industry. And in the future in Data science it will be possible to apply quantum computing is a new technology that uses the principles of quantum mechanics.
Therefore, those who want to remain a sought-after specialist will have to regularly learn new things and upgrade their skills.
5. Finding comfortable working conditions
Almost half of Russians prefer a hybrid work format that allows you to combine office and remote work. Another 21% want to work only remotely. This choice is easy to understand: at home, you can customize the workplace and not be distracted by the conversations of colleagues. In addition, full remote work expands employment opportunities. For example, you can live in a small town and work for a company in the capital. The remote format is not available in all areas, but analytics is just such an option.
By the way, retraining for a new profession will also work remotely and relatively quickly. Many courses last a year and a half. At the same time, training can be combined with old work.
6. Almost unlimited growth is possible in the profession
An analyst's career can develop in several directions and largely depends on his interests and desires. There is an opportunity to build a career horizontally, trying new tools. Over time, it will turn out to become a first-class specialist and reach the appropriate income. Another option is to take on more responsibility and take on the position of team leader. In addition, you can become a mentor for less experienced colleagues or teach.
Yandex Practicum trains data scientists, system analysts, business analysts, and data analysts from scratch. To immerse yourself in the field and understand whether it suits you or not, you can take a free course "Fundamentals of Data Analysis and Python». You will be taught how to read charts and build the first hypotheses, explain the basics of a popular programming language and offer to solve four data cases. The theory is worked out on an interactive platform, and you can study at a convenient time. If you like the materials, then the training can be continued already in a specific specialty. And if not, choose another direction.
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