Santander, a global leader in the financial services industry, is looking to solve the problem of managing and governing enterprise data within a large financial institution.
Requirements
- Basic understanding of database, data warehouse, data lake conceptual architecture
- SQL, Python and PowerBI basic experience or interest to learn
- Interest in Data Analytics, Data Visualization and Reporting
- Ability to learn about Data Quality rule development
- Basic knowledge of data management practices, including business glossaries, data lineage, data dictionaries, and data quality rules
- Exposure to banking platforms, vendors, and regulatory data requirements
- Understanding of how technology and data governance intersect with strategic initiatives
Responsibilities
- Assists in documenting business processes, focused on data flows, and data control points
- Assists in the creation of documentation for Key Data Elements, its definition (Glossary), flow (Data Lineage) etc.
- Interest in Data Analytics, Data Visualization and Reporting
- Basic understanding of database, data warehouse, data lake conceptual architecture
- SQL, Python and PowerBI basic experience or interest to learn
- Ability to learn about Data Quality rule development
- Assists in the automation of internal processes and enhanced reporting
Other
- Undergraduate or graduate students who have an expected graduation date between December 2026 and May/June 2027
- No relocation assistance offered
- Participation in structured professional development opportunities
- Creation of connections with peers and meeting leaders across Santander
- Collaboration with best-in-class teams and contribution to projects that drive innovation across the organization
