Sanctions Lists Quality Analyst & Automation

Dow Jones & Company, Inc.; Princeton (NJ); On-site; USD 65,000 - 80,000; Full time

Benefits offered by this job

Comprehensive Insurance Plans

Retirement Plans

Employee Referral Program

Subscription Discounts

Fitness Reimbursement Program

Job summary

Dow Jones & Company, Inc. is seeking a Lists Analyst to join the global risk and compliance team in Princeton. You will support researching, recording, and updating details on individuals and entities on sanctions lists, ensuring data accuracy and timeliness across all content.

Report to the Manager, Lists Assurance and collaborate with editors and automation teams. The ideal candidate has 5+ years of sanctions data experience, strong attention to detail, and excellent communication skills.

Qualifications

• Minimum 5 years of experience with sanctions data from EU/USA/UK/UN and others.
• Must think strategically to address complex data quality issues.
• Attention to detail with proactive data quality improvement.
• Ability to handle large and complex datasets under tight deadlines.
• Good communication skills and ability to work in a global team.

Responsibilities

• Perform quality checks within set deadlines and processes.
• Proof data from Special Lists both manually and automatically.
• Ensure data consistency, accuracy, and timeliness across content.
• Adhere to pre- and post-production quality controls.
• Log issues, analyze data, and implement remedial actions.

Skills

Attention to detail

Communication skills

Team collaboration

English plus another language

Education

Bachelor's degree or higher

Tools

Python

SQL

Google Apps Script

MS Excel

Job description

Dow Jones & Company, Inc. is seeking a Lists Analyst to join the global risk and compliance team in Princeton. You will support researching, recording, and updating details on individuals and entities on sanctions lists, ensuring data accuracy and timeliness across all content.

Report to the Manager, Lists Assurance and collaborate with editors and automation teams. The ideal candidate has 5+ years of sanctions data experience, strong attention to detail, and excellent communication skills.