Junior data analyst who can do a professional collects, processes, and
analyzes data to help organizations make informed decisions. They use
statistical tools, programming languages (like Python, or SQL), and data
visualization tools (such as Tableau or Power BI) to interpret data and
identify trends, patterns, and insights. Their work supports business
strategies, improves efficiency, and solves problems by turning raw data into
actionable information.