Collecting and analyzing data is an important part of any business process. This flow of information is necessary to make the right decisions based on clear metrics and numbers, not intuition.
A data analyst helps a business not get lost in an ocean of information – structuring and interpreting it to present it in a clear format.
A data analyst is a big data analyst: he collects it, processes it, and draws conclusions. Based on his reports, companies make important decisions.
For example, in online commerce, you can analyze how customers use promo codes and what content is of most interest to website visitors, and based on this, decide which sites to use for promotion. In large chain stores, based on analysts’ conclusions, they optimize logistics and work with the flow of customers.
Almost all large companies are engaged in the collection of data. They are needed to track customer behavior, customer reactions to a new product. Data can be ordered or scattered, have different structure and density. If we talk about volumes, we are talking about gigabytes and terabytes of information. Processing such arrays manually is long and difficult, so automatic processing tools were created for analysis.
A Data Analyst (or Data Analyst) collects and analyzes big data, processes it, studies it, and draws conclusions. These experts conduct A/B tests, identify trends in customer behavior, and test hypotheses. The results of a data analyst’s work help businesses make objective decisions and reduce risks when launching new projects.
To do his or her job well, the data analyst must have a complete understanding of the company’s business processes. You need to know what task his work is supposed to help solve.
A data analyst can also look for patterns in a set of data, interpret the results, and make predictions to improve performance.