Summer Internship Program 2027 - Corporate Systems Analyst Intern

Intercontinental Exchange Holdings, Inc.•Atlanta, GA
•Onsite

About The Position

The Corporate Systems Analyst Intern will support technical administration of Oracle Revenue Management & Billing (ORMB) and ServiceNow, with exposure to billing and IT service troubleshooting. The internship combines hands-on work on business-impacting projects with career and professional development, weekly sessions led by industry leaders, and opportunities to connect with fellow interns and learn about the financial services, technology, and mortgage industries. Interns must work full-time, five days per week, at the Atlanta office for the full duration of one of two program schedules: May 24, 2027–August 6, 2027, or June 7, 2027–August 20, 2027. Partial participation and alternate dates cannot be accommodated.

Requirements

  • Must be currently enrolled in a degree program at an accredited university and be advancing to at least junior year of study.
  • Experience with SQL and/or Python, including SQL querying, joins, and aggregations, as well as Python data structures, functions, classes, and virtual environments.
  • Ability to read and work with existing code for data analysis and problem solving.
  • Strong data skills, including cleaning and validating complex datasets, performing exploratory data analysis, creating clear visualizations, and understanding data quality, bias, and privacy considerations.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently.
  • Availability to work full-time, five days a week, at the Atlanta office for the entire duration of one designated program schedule.

Nice To Haves

  • Experience with REST/SOAP APIs and JavaScript is beneficial but not required.

Responsibilities

  • Troubleshoot and resolve time-sensitive billing issues through root cause analysis, permanent fixes, and SQL-based data validation, investigation, and reporting.
  • Manage Tier 1/2 ServiceNow incidents and service requests in compliance with SLAs, while maintaining SOPs and operational documentation.
  • Use Python, AI agents, and large language models (LLMs) to solve risk-related problems.
  • Partner with internal clients across technology, operations, and compliance teams.
  • Build and maintain infrastructure to support automated risk analysis and reporting.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service