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 methodologies on the fly.
• Familiarity with SQL, Python, R, or similar data tools (coursework counts!). Exposure to data modeling concepts (dimensional modeling, ERDs, normalization) is a plus.
• Familiarity with Microsoft Fabric, OneLake, or similar modern data lakehouse platforms is an asset.
• Understanding of KPI frameworks and experience translating business goals into measurable metrics is a bonus.
• Experience with BI tools such as Tableau, Power BI, or Looker is an asset.

REQUIRED QUALIFICATIONS:

• Student of RIT.
• Background in the field of study which coincides with the department utilizing the co-op.

EDUCATION:

LICENSES / CERTIFICATIONS: 

PHYSICAL REQUIREMENTS:

S - Sedentary Work - Exerting up to 10 pounds of force occasionally Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

For disease specific care programs refer to the program specific requirements of the department for further specifications on experience and educational expectations, including continuing education requirements.

Any physical requirements reported by a prospective employee and/or employee’s physician or delegate will be considered for accommodations.

PAY RANGE:

$20.00 - $20.00Rochester14617

The listed base pay range is a good faith representation of current potential base pay for a successful full time applicant. It may be modified in the future and eligible for additional pay components. Pay is determined by factors including experience, relevant qualifications, specialty, internal equity, location, and contracts.

Rochester Regional Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, predisposing genetic characteristics, marital or familial status, military or veteran status, citizenship or immigration status, or any other characteristic protected by federal, state, or local law.