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Information Systems & Technology Co-op
Rochester Regional Health. Assist in designing, building, and maintaining data models supporting reporting and analytics .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data modeling, analysis, and visualization, with a strong foundation in SQL, Python, and BI tools like Tableau and Power BI. Capable of collaborating with cross-functional teams to derive insights and support data quality initiatives.
Highest-signal resume keywords
Data ModelingSQLPythonTableauData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingSQLPythonRData AnalysisData ValidationData CleansingKPI DevelopmentBusiness AnalyticsStatistics
Soft Skills
CollaborationCommunicationCuriosityProblem-Solving
Tools & Technologies
Microsoft FabricOneLakeTableauPower BILooker
Industry Keywords
Data QualityAnalyticsLakehouse ArchitectureCross-Functional TeamsBusiness Performance
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Assist in designing, building, and maintaining data models supporting reporting and analytics
- Explore and analyze datasets to identify trends, anomalies, and opportunities for insight
- Collaborate with cross-functional teams to understand data requirements and communicate findings
- Document data pipelines, model logic, and analytical processes
- 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 development and tracking of KPIs measuring business performance and informing strategic decisions
- Contribute to data quality initiatives, including validation, cleansing, and standardization
- Present findings and summaries to technical and non-technical stakeholders
Requirements
What you’ll need- 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 Computer Science, Data Science, Statistics, Business Analytics, or a related field
- 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
- Ability to work Monday-Friday, 8am-4pm
- Double-block Co-op starting in January 2027