This role is generally considered a more advanced version of a data analyst. They might automate their own machine learning algorithms or design predictive modeling processes that can handle both structured and unstructured data. Read more: What Does a Data Analyst Do? A Career Guideĭata scientists often deal with the unknown by using more advanced data techniques to make predictions about the future. Presenting findings in an easy-to-understand way to inform data-driven decisions Common tasks for a data analyst might include:Ĭollaborating with organizational leaders to identify informational needsĪcquiring data from primary and secondary sourcesĬleaning and reorganizing data for analysisĪnalyzing data sets to spot trends and patterns that can be translated into actionable insights One of the biggest differences between data analysts and scientists is what they do with data.ĭata analysts typically work with structured data to solve tangible business problems using tools like SQL, R or Python programming languages, data visualization software, and statistical analysis. Data analysts and data scientists: What do they do? Both roles work with data, but they do so in different ways.

While there’s undeniably plenty of interest in data professionals, it may not always be clear what the difference is between a data analyst and a data scientist. The World Economic Forum Future of Jobs Report 2020 listed these roles at number one for increasing demand across industries, followed immediately by AI and machine learning specialists and big data specialists.

Data analysts and data scientists represent two of the most in-demand, high-paying jobs in 2021.

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