Summer Data Analytics Intern - Hybrid, Real-World Impact

The Options Clearing Corporation (OCC); Illinois; Hybrid; USD 28,000 - 40,000; Full time

Job summary

The Options Clearing Corporation (OCC) invites interns to contribute to real analytics projects, building dashboards and data pipelines in a hybrid, 12-week program. Candidates work up to 40 hours weekly and engage with cross-functional teams to turn data into actionable insights.

This role emphasizes learning, collaboration, and practical application of SQL, Python, and emerging AI tooling within a regulated financial setting.

Qualifications

• Rising senior or second-year graduate student, graduating December 2027 or May/August 2028.
• Majors: Computer Science, Data Science, Business Analytics.
• Strong SQL, working knowledge of Python; knowledge of cloud concepts, AWS; Tableau preferred.
• Practical curiosity about AI-assisted development tools such as Claude Code.
• Exposure to relational databases like PostgreSQL; basic schema design helpful.

Responsibilities

• Develop and maintain interactive Tableau dashboards to visualize key metrics.
• Write and optimize SQL queries to analyze large datasets from multiple sources.
• Collaborate with cross-functional teams to gather requirements and deliver actionable insights.
• Leverage AI-assisted development tools, including Claude Code, to accelerate development and documentation.
• Collaborate with business users and technical teams to enable data accessibility and analytics.

Skills

Distributed systems

SQL

Python

AWS

Tableau

Claude Code

PostgreSQL

Education

Undergraduate or graduate student

Tools

Claude Code

PostgreSQL

Tableau

Job description

The Options Clearing Corporation (OCC) invites interns to contribute to real analytics projects, building dashboards and data pipelines in a hybrid, 12-week program. Candidates work up to 40 hours weekly and engage with cross-functional teams to turn data into actionable insights.

This role emphasizes learning, collaboration, and practical application of SQL, Python, and emerging AI tooling within a regulated financial setting.