Data Analyst (Big Data Analyst)

I have always believed that if you are an analyst, you can work with any area, and I have often proved this by my example. But when faced with the position of "Data Analyst", I usually received a refusal. I wonder why? What does a data analyst do? The answer suggests itself - it analyzes the data. Of course, this is correct, but the analyst analyzes the so-called Big Data (big data, although in reality it is any data) and has the knowledge, skills, methods of how to process, classify, structure, store, transform data and give it in a convenient form. to all "needy". Such analysts are called mathematicians, mathematicians-programmers, information analysts, and sometimes system analysts too, but with knowledge of working with Big Data. There can be a great variety of names. Sure, the work of these specialists is based on their mathematical education and knowledge in the field of mathematical statistics, data analysis algorithms and mathematical modeling. Purely theoretically, with my engineering education, a six-month course in mathematical statistics and knowledge of building relational databases, I could do this work (if it interested me more than systems analysis). But I still need to learn and learn how to work with Big Data, and then gain experience, so a refusal for an interview is natural. Such specialists are needed by companies that need to manage customer demand, and these are usually Telecom and the Banking sector, as well as often Retail. I, with my engineering education, a six-month course in mathematical statistics and knowledge of building relational databases, could do this work (if it interested me more than systems analysis). But I still need to learn and learn how to work with Big Data, and then gain experience, so a refusal for an interview is natural. Such specialists are needed by companies that need to manage customer demand, and these are usually Telecom and the Banking sector, as well as often Retail. I, with my engineering education, a six-month course in mathematical statistics and knowledge of building relational databases, could do this work (if it interested me more than systems analysis). But I still need to learn and learn how to work with Big Data, and then gain experience, so a refusal for an interview is natural. Such specialists are needed by companies that need to manage customer demand, and these are usually Telecom and the Banking sector, as well as often Retail.

Analyst / Data Scientist

We live in the era of the information society, when all information is available to any person, and the flow of data inexorably follows us on our heels. The ability to “filter” necessary and unnecessary information is always useful, both at work and in everyday life. Just like society as a whole, so the IT society does not stand still. And now, Rothschild's famous phrase "who owns information rules the world" can be rephrased in a modern manner "who understands how information is processed and owns the tools for processing it, he rules the world." Why is Data Scientist useful to us, and who is he? I have never met such specialists in my practice. However, I observed the result of their work and see it constantly in my daily life, for example, when I receive an SMS from a bank or a mobile operator.

The activities of a Data Scientist specialist are aimed at processing information to form conclusions, search for hidden patterns and extract knowledge from large amounts of information. Such conclusions are needed to make decisions in business. The simplest example and familiar to everyone is the question: "To lend money or not?" If a friend comes to you and says: "Give me a loan until next month?" You begin to collect and analyze information: do I have a lot of money, and how good is this friend, and how often does he ask for a loan, and why does he need money, but last time he did not return the money on time, but do I need this friend, eventually! And then you make a decision. Likewise, companies, in order to offer a service and get feedback from a client, conduct research of all information on the client. Many go further by implementing data analysis and decision-making systems desktop support jobs near me.

Data Scientist is at the intersection of business analysis (well versed in business) and big data analysis (you can often see that specialists with knowledge of Big Data are looking for a position in this area). Data Scientists are divided into analysts and programmers. Thus, this new direction stands at the intersection of analysis and programming. The specialist must be able to program his mathematical hypotheses and conclusions for analytical purposes. The result of Data Scientist's work is most often not immediately noticeable, but this work is very useful for business development, which in turn dictates the demand for such specialists in the market.