The demand for skilled data analysts is on the rise, and the field continues to attract fresh talent with the promise of impactful work and promising career growth. However, the journey of a new data analyst is often filled with avoidable pitfalls. While technical skills are essential, many beginners stumble due to simple mistakes that can delay their progress or affect the quality of their work. Understanding and avoiding these common errors can significantly accelerate professional development.