A Public Health Data Analyst should have strong analytical skills, proficiency in statistics, and a degree in public health, statistics, or a related field. Experience with data analysis software such as SAS, R, or Python, as well as familiarity with public health databases and data visualization tools like Tableau or Power BI, is typically required. Effective communication, critical thinking, and attention to detail are essential soft skills for collaborating with multidisciplinary teams and presenting data-driven insights. These competencies are crucial for accurately interpreting health data, supporting evidence-based decisions, and contributing to impactful public health initiatives.