Data Scientists, Business Analysts, and Data Analysts have overlapping skill sets but perform different roles within an organization.
Data Scientists focus on extracting insights from complex and large datasets using various statistical and machine-learning techniques. They apply their programming, mathematics, and domain expertise knowledge to analyze data and develop predictive models or algorithms to solve business problems.
Business Analysts primarily work on analyzing business operations, identifying areas for improvement, and making strategic decisions. They focus on understanding business requirements, gathering data, creating reports, and providing insights to support decision-making processes. While they may work with data, their analysis typically involves a broader perspective on business operations.
Data Analysts collect, organise, and analyse data to uncover trends, patterns, and insights. They primarily focus on data cleaning, visualization, and creating reports or dashboards to present the findings. Data Analysts work more on descriptive analysis and providing data-driven insights to support decision-making.