Location: Rochester, NY
Cap-Exempt H-1B Position — No lottery required
**Job Title:** RIT Co-op **Department:** Information Systems & Technology **Location:** Hybrid **Hours Per Week:** 40 **Duration** : Starting in May 2026 and ending in December 2026 **Summary** As a participant in the RIT paid Co-Op, you will gain exposure and experience in the healthcare field, specifically in Information Systems & Technology. 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. **What You’ll Do** - 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. **What You Bring** - Currently enrolled in a degree program in Computer Science, Data Science, Statistics, Business Analytics, or a related field at Rochester Institute of Technology (RIT). - Excellent written and verbal communication skills; you can explain technical concepts to non-technical audiences. - Comfort and curiosity with learning new technologies, platforms, and metho