A data analyst can use Java efficiently by leveraging its robust libraries like Apache POI for handling Excel files, JDBC for database connectivity, and Apache Commons for data manipulation. Java’s object-oriented features allow scalable and reusable code, making it suitable for building automated data pipelines and integrating with big data tools like Hadoop and Spark. It ensures high performance, especially for large-scale data processing tasks. Java’s strong typing and error handling reduce bugs, ensuring data accuracy and reliability. With its cross-platform capability, Java helps in developing flexible data solutions across different systems. If you want to master these skills, consider enrolling in a data analyst course: https://www.theiotacademy.co/data-analyst-certification-course