RIT Co-op: Information Systems & Technology

About the role

In this role, you will work alongside analysts and engineers to help build, maintain, and interpret data models that drive key business decisions. This is a hands-on opportunity for someone who is passionate about data, eager to learn new tools and technologies, and thrives in an environment where initiative and clear communication are valued. The position is a hybrid RIT Co-op with Information Systems & Technology.

Responsibilities

• Assist in designing, building, and maintaining data models that support reporting and analytics needs
• Explore and analyze datasets to identify trends, anomalies, and opportunities for insight
• Collaborate with cross-functional teams to understand data requirements and communicate findings clearly
• Document data pipelines, model logic, and analytical processes for team reference
• Learn and apply new data tools and technologies as project needs evolve
• Work within Microsoft Fabric and OneLake to access, organize, and manage data assets across the lakehouse architecture
• Support the development and tracking of Key Performance Indicators (KPIs) that measure business performance and inform strategic decisions
• Contribute to data quality initiatives including validation, cleansing, and standardization
• Present findings and summaries to both technical and non-technical stakeholders

Requirements

• Must be a student enrolled at RIT to be eligible for Co-op; matriculation at RIT must be maintained throughout Co-op experience
• Background in the field of study which coincides with the department utilizing the co-op including Computer Science, Data Science, Statistics, Business Analytics, or a related field

Skills

• Comfort and curiosity with learning new technologies, platforms, and methodologies on the fly
• Familiarity with SQL, Python, R, or similar data tools (coursework counts!)
• Experience with BI tools such as Tableau, Power BI, or Looker is an asset
• Experience working within Microsoft Fabric and OneLake to access, organize, and manage data assets

Pay

$20.00 - $20.00 per hour

Schedule

Full-time, Monday‑Friday 8am‑4pm. Double‑block Co‑op starting in January 2027.