As a Data Quality Analyst intern, you will be responsible for supporting the bank's data management processes, performing data validation, cleaning, and quality assessment tasks across various systems and databases. Your primary responsibilities will involve identifying data inconsistencies, developing data quality improvement strategies, and collaborating with multiple teams to ensure accurate and reliable data.
The ideal candidate should have a strong academic background in data-related fields, basic understanding of data analysis techniques, and proficiency in analytical tools. Knowledge of statistical methods, data cleaning techniques, and experience with programming languages or data analysis software is highly desirable. Strong analytical thinking, attention to detail, and the ability to communicate complex technical concepts effectively are crucial for success in this role.
Santander offers an excellent learning environment for emerging data professionals, providing mentorship, exposure to cutting-edge banking technology, and potential for future career growth. Interns will receive competitive compensation, opportunities for skill development, and a chance to work within a global financial institution committed to innovation and digital transformation.
