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Data Analyst: Leverage existing tools and problem-solving methods to query and process data, provide reports, summarize and visualize data.
Data Engineer: Build and operationalize data pipelines for collecting and organizing data while ensuring the accessibility and availability of quality data.
Data Scientist: Apply statistics, machine learning, and analytic approaches in order to interpret and deliver visualized results to critical business questions.

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Data Analyst: A data analyst is responsible for collecting, processing, and performing statistical analyses on data using various tools and methods. They use this information to generate reports and visualizations that provide insights into business operations, market trends, and other important information.
Data Engineer: A data engineer is responsible for designing, building, and maintaining the infrastructure necessary to store, process, and manage large amounts of data. They work with data architects to ensure that data pipelines are efficient and scalable, and they may also be responsible for developing and maintaining databases and data warehouses.
Data Scientist: A data scientist is responsible for using statistical and machine learning techniques to extract insights from large and complex data sets. They work closely with business stakeholders to identify important business problems and then develop models and algorithms that can help solve these problems. They may also be responsible for developing and deploying predictive models, building dashboards, and creating visualizations to communicate their findings.

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