It’s important to note that there isn’t a “typical” day for most Data Analysts.

Although the daily tasks of a Data Analyst depend on the kind of data they are handling, as well as the project at hand, nearly all Data Analysts are involved with data gathering, organizing, and analyzing. No matter the industry, most Data Analysts are tasked with finding insights in data that can be used to learn more about the needs of the end user or customer.

Daily Tasks of Data Analystsĭata Analysts are relied on in any field that uses data, such as fast-food chains, retail stores, and healthcare providers. Data Analysts are playing a more important role than ever with big data, and likely will continue to do so in the coming years. Cloud computing, along with mobile data traffic and AI technologies, is part of a rapid expansion not only of the volume of data that has to be stored and processed but also its complexity. This number is projected to reach $105 billion by 2027. In 2018, the Global Big Data Analytics Market was estimated to be worth $37 billion. Once the information is collected, conclusions can be drawn from it, which are then used for problem-solving, business processing, decision-making, and predictions that can inform what a company’s next steps should be.ĭata Analysts are currently in high demand as companies expand their analytic capabilities to keep up with the ever-growing stream of data that must be processed and analyzed. This process includes collecting data, organizing it, and storing it, then performing statistical analysis on the data.

Data analytics is the set of techniques used to analyze raw data (unprocessed data) in order to extract relevant information, trends, and insights.

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