Michael J.

My skills for Data analyst are us follow Data analysts need a combination of hard and soft skills to be successful. Some skills that are important for data analysts include: Machine learning Data analysts can use machine learning and artificial intelligence (AI) to build predictive models, automate tasks, and identify complex patterns in data. Critical thinking Data analysts use critical thinking to identify patterns and extract actionable insights from data. Critical thinking is also a key part of problem-solving. Microsoft Excel Data analysts often use Microsoft Excel because it's widely available, quick, and good for basic computations. Communication Data analysts need to be able to communicate their findings persuasively so that they can be used to make data-driven decisions. Data cleansing Data analysts need to be able to clean and prepare data so that it can be easily retrieved from different sources and prepared for analysis. Problem solving Data analysts need to be able to solve business problems using data analysis. Attention to detail Data analysts need to be precise when analyzing, retrieving, and explaining data.