Data Management Graduate 2027 Summer Intern

About the role

We’re developing the next generation of Colleagues! Join the data‑driven culture at Citizens and learn how we keep customers at the center of everything we do. This 10‑week summer internship supports innovative data & analytics initiatives across the bank.

Experience during the program

Interns split their time between two components:

• Half of the internship is spent individually partnered with a host team within the data & analytics community, working on ongoing assignments such as data quality monitoring, metadata management, ETL support, data integration, SQL development, cloud‑based data tools, and exploratory data analysis—including reporting, dashboarding, and ad‑hoc investigations.
• The other half is spent on a cross‑functional team with other Data & Analytics interns, colleagues, and business partners to deliver a real‑world project that experiences the full project cycle. Past projects have focused on enhancing the customer experience, optimizing business spend, identifying new market opportunities, providing business insights, model development, and engineering metrics & dashboarding.

Interns adopt a hybrid work structure and work out of one of our headquarters in Columbus, OH; Johnston, RI; or Boston, MA. Specific responsibilities and tools may vary depending on the host team.

Responsibilities

• Support teams responsible for data management systems and workflows that meet business needs.
• Develop and optimize SQL queries for efficient data extraction, transformation, and loading (ETL).
• Troubleshoot and resolve data quality or integrity issues proactively.
• Work hands‑on with internal data repositories to collect, organize, and analyze relevant datasets.
• Collaborate with stakeholders to gather feedback and refine solutions for maximum 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.
• Follow enterprise‑wide data standards and governance practices, including metadata, master data, and policy management.

Basic qualifications

• Successfully complete a video interview assessment within 4 days of receiving the link.
• Currently pursuing a graduate degree in computer science, information systems, statistics, engineering, or another technology‑related field.
• Expected graduation date between December 2027 and Spring 2028 for Master’s students, or concurrently enrolled in a PhD program.
• Minimum GPA of 3.0.
• Experience working with raw as well as prepared datasets.
• Understanding of master data management principles and processes.
• Proficiency with SQL, Python, Microsoft Excel, and exposure to libraries such as Pandas for data manipulation.
• Familiarity with cloud computing environments (e.g., AWS), APIs, and structured data formats like JSON and YAML.

Preferred qualifications

• Team collaboration: ability to thrive in a team environment and work effectively with diverse colleagues and business units.
• Communication skills: strong written and verbal abilities to convey analytic results, business insights, and impact to non‑technical audiences.
• Analytical thinking: solid reasoning and problem‑solving skills, with the ability to break down complex problems using logic and quantitative methods.
• Curiosity & initiative: proactive approach to asking thoughtful questions, researching unfamiliar topics, and seeking clarity on project goals.
• Resilience & drive: persistence, adaptability to feedback, and focus on delivering results.
• Technical familiarity: exposure to or interest in tools such as Amazon Redshift, Snowflake, Amazon S3, and Alteryx (prior experience a plus).
• Learning mindset: eagerness to learn from mentors and business partners, growing technical and business acumen through hands‑on work.
• Experience in data analysis and interest in data governance principles (data quality, consistency, integrity, security).
• Familiarity with data architecture concepts such as data pipelines, cloud storage, and data integration, plus awareness of data modeling concepts.
• Exposure to tools such as Amazon S3, Redshift, SageMaker, DBeaver, or Starburst considered a plus.
• Understanding of ETL concepts and how they support data integration and pipeline development.

Hours and work schedule

Hours per week: 40

Work schedule: Monday – Friday, 8:30 am – 5:00 pm

Why work for us

At Citizens, you’ll find a customer‑centric culture built around helping our customers and giving back to local communities. You’ll join a supportive, collaborative workforce with access to training and tools that accelerate your potential and maximize career growth.

Permanent work authorization in the United States is required. This position is not eligible for CPT, OPT, or visa sponsorship, now or in the future.