Global Trade Content Analyst - AI-Driven Data & Compliance

Thomson Reuters; Elsene; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid Work Model

Flex My Way

Grow My Way program

Headspace app access

Retirement savings

Tuition reimbursement

Volunteer days

Job summary

Thomson Reuters seeks a detail-oriented specialist to support global trade and tariff content, interpreting regulations and maintaining data accuracy. You will collaborate with cross-functional teams, contribute to AI-driven improvements, and produce clear process documentation in a fast-paced, hybrid-work environment.

Key responsibilities include research, data validation, and supporting product enhancements while maintaining high quality in regulatory data across internal systems.

Qualifications

• Bachelor’s degree in International Trade, Business, Economics, Supply Chain Management, or a related field.
• Strong analytical, research, and problem-solving skills.
• Proficiency in Microsoft Excel, databases, and data analysis tools.
• Strong written and verbal communication skills.

Responsibilities

• Research and interpret global trade regulations and tariff schedules.
• Monitor regulatory updates and maintain content accuracy.
• Convert regulatory info into software-compatible formats.
• Perform QA to ensure data accuracy and integrity.

Skills

Analytical skills

Research

Problem solving

Excel

Data analysis tools

Written and verbal communication

Multitasking

Team collaboration

Education

Bachelor’s degree in International Trade or related field

Tools

Microsoft Excel

Databases

Data analysis tools

Job description

Thomson Reuters seeks a detail-oriented specialist to support global trade and tariff content, interpreting regulations and maintaining data accuracy. You will collaborate with cross-functional teams, contribute to AI-driven improvements, and produce clear process documentation in a fast-paced, hybrid-work environment.

Key responsibilities include research, data validation, and supporting product enhancements while maintaining high quality in regulatory data across internal systems.