Senior Reference Data Analyst - Financial Data & Automation

Intercontinental Exchange Holdings, Inc.; Jacksonville (FL); On-site; USD 65,000 - 95,000; Full time

Job summary

Intercontinental Exchange, Inc. is seeking a detail-oriented Reference Data Associate to manage and enhance financial reference data across ICE US Municipal data products. The role emphasizes data quality, workflow optimization, and cross-team collaboration to deliver accurate, timely information to clients.

The successful candidate will develop Excel-based tools and visualizations, apply Python/SQL skills, and mentor junior staff while supporting data initiatives in a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent experience.
• Strong analytical and problem-solving skills.
• Proficiency in Excel, Python, SQL, and data visualization.
• Excellent written and verbal communication skills.
• Solid understanding of financial markets and data products.
• Commitment to data integrity and continuous improvement.

Responsibilities

• Manage and transform financial reference data from legal, financial, and vendor sources.
• Ensure data accuracy, completeness, and timeliness across internal platforms.
• Analyze data to uncover trends and drive process enhancements.
• Respond to client inquiries with clear, well-reasoned analysis and solutions.
• Collaborate with internal teams and external stakeholders to support data initiatives.
• Develop tools (Excel/macros) and visualizations (charts, graphs) for reporting.
• Mentor junior associates and serve as a subject matter expert.

Skills

Analytical skills

Problem solving

Written communication

Education

Bachelor's degree or equivalent experience

Tools

Excel

Python

SQL

Data visualization

Job description

Intercontinental Exchange, Inc. is seeking a detail-oriented Reference Data Associate to manage and enhance financial reference data across ICE US Municipal data products. The role emphasizes data quality, workflow optimization, and cross-team collaboration to deliver accurate, timely information to clients.

The successful candidate will develop Excel-based tools and visualizations, apply Python/SQL skills, and mentor junior staff while supporting data initiatives in a fast-paced environment.