Citizens is looking to support innovative data & analytics initiatives across the bank and keep customers at the center of everything they do
Requirements
- Experience working with raw as well as prepared datasets
- Understanding of master data management principles and processes
- Proficiency with programming languages / tools: SQL, Python, Microsoft Excel, with exposure to libraries such as Pandas for data manipulation
- Familiarity with cloud computing environments (e.g., AWS), APIs, and working with structured data formats like JSON and YAML
- Currently pursuing a graduate degree in computer science, information systems, statistics, engineering, or other technology-related degrees
- Minimum GPA of 3.0
- Expected graduation date between December 2026 and Spring 2027 for Master’s students or concurrently enrolled in a PhD program
Responsibilities
- Support teams responsible for data management systems and workflows that support business needs
- Develop and optimize SQL queries for efficient data extraction, transformation, and loading (ETL)
- Troubleshoot and resolve data quality or integrity issues in a timely and proactive manner
- Work hands-on with internal data repositories to collect, organize, and analyze relevant datasets
- Collaborate with stakeholders to gather feedback and refine solutions to maximize business impact
- Present final project outcomes and insights to peers and business leaders as part of a capstone presentation
- Assist in monitoring data quality and apply measures that support accuracy and consistency
Other
- Successfully complete a video interview assessment within 4 days of receiving the link
- Minimum GPA of 3.0
- Expected graduation date between December 2026 and Spring 2027 for Master’s students or concurrently enrolled in a PhD program
- Team Collaboration: Demonstrated ability to thrive in a team environment and collaborate effectively with colleagues from diverse backgrounds and business units
- Communication Skills: Strong written and verbal communication skills, with an ability to successfully communicate analytic results, business insights, and business impact to a non-technical audience
