![]() Data analysts typically have a strong background in mathematics and computer science. They must be able to effectively communicate their findings to those who will make the decisions. What Does a Data Analyst Do?Ī data analyst is responsible for collecting, cleaning, and analyzing data that can be used to improve business decisions. Check out his experience with our program and his career growth in his Simplilearn Data Analyst Course Review. ![]() His search for learning about data in detail took him to our Data Analyst Master’s Program. Read More: Looking for a better career growth, Ankit Dongare decided to switch careers from Operations to Data Science. Once you know who is a data analyst, it's paramount to know the roles and responsibilities of a data analyst. Data Analysts deal with data handling, data modeling, and reporting. This data can be in the form of customer feedback, accounts, logistics, marketing research, and so on.Ī data analyst is a professional who takes this data and figures out numerous measures, such as how to improve customer experience, price new materials, and how to reduce transportation costs, to name a few. Every business, be it small or big, generates, and collects data. And here’s how! Who is a Data Analyst?Ī data analyst collects, processes, and performs analysis of large datasets. So what’s next: understanding how to become a data analyst. There are several job roles in the field of data analytics, and among the job pool, becoming a data analyst offers the most amazing career opportunities. There is a high requirement for professionals who can help organizations convert raw data into meaningful information, which in turn can help the growth of the business. Several tools and frameworks are used in the analysis process. ![]() The final result can be visually represented as graphs and charts which provide precise results of the analysis. The collected data can be structured, semi-structured, or unstructured in nature. Similarly, in data analytics, you have to analyze data collected from several sources, clean it, and then transform it into information that humans can interpret. ![]() Your first step is to gather all the puzzle pieces and then fit them correctly to bring out the final picture. Such insights can be your business information, product innovations, market trends, etc.ĭata analytics can be compared to how you make a jigsaw puzzle. Hence, data analytics can be defined as the process in which meaningful insights are drawn from raw data by scrutinizing it. From a bird's eye view, the term “analyze” can mean scrutinizing something to derive useful information from it. ![]()
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