Primary responsibilities include conducting complex data analysis, developing data transformation strategies, implementing advanced analytical models, and supporting strategic business decisions through data-driven insights. The role involves working closely with cross-functional teams to identify data requirements, design robust analytical solutions, and translate technical findings into actionable business recommendations.
Required experience includes a strong background in data science, proficiency in statistical analysis, advanced programming skills, and expertise in data transformation techniques. The ideal candidate should have a solid understanding of data modeling, machine learning principles, and the ability to work with large, complex datasets. Proven experience in developing and implementing data-driven solutions in a corporate environment is essential.
The role offers a competitive compensation package, opportunities for professional growth, exposure to cutting-edge technology, and the chance to work within a global financial institution. Santander provides a dynamic work environment that encourages innovation, continuous learning, and personal development, with opportunities to make a significant impact in the data analytics domain.
