Data Analytics Co-op: Build Models & Insights (Hybrid)

RRHS; United States; Hybrid; USD 23,000 - 32,000; Full time

Job summary

Rochester Regional Health is offering a Co-op in Information Systems & Technology located in Rochester. The role involves building and maintaining data models, analyzing datasets, and communicating findings to stakeholders in a hybrid, full-time setting.

The program targets students in CS/Data Science/Statistics/Business Analytics with comfort learning new tools. Proficiency in SQL, Python, R and BI tools is valued.

Qualifications

• Familiarity with SQL, Python, R, or similar data tools (coursework counts).
• Background in Computer Science, Data Science, Statistics, Business Analytics or related field.
• Comfort and curiosity with learning new technologies, platforms, and methodologies on the fly.

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 KPIs that measure business performance and inform decisions.
• Contribute to data quality initiatives including validation, cleansing, and standardization.
• Present findings and summaries to both technical and non-technical stakeholders.

Skills

SQL

Python

R

Learning agility

Education

CS/Data Science/Statistics/Business Analytics related field

Tools

Tableau

Power BI

Looker

Microsoft Fabric

OneLake

Job description

Rochester Regional Health is offering a Co-op in Information Systems & Technology located in Rochester. The role involves building and maintaining data models, analyzing datasets, and communicating findings to stakeholders in a hybrid, full-time setting.

The program targets students in CS/Data Science/Statistics/Business Analytics with comfort learning new tools. Proficiency in SQL, Python, R and BI tools is valued.