Remote Senior Risk Data Analyst (AML/Analytics)

Randstad Digital; Mount Laurel Township (NJ); Remote; USD 110,000 - 117,000; Full time

Job summary

Randstad Digital is seeking a remote contractor specialized in data analysis and risk reporting. The role focuses on data quality, building analytics tools, and supporting risk management initiatives with automation and stakeholder engagement.

The candidate will work with Enterprise Protect data sources, leveraging SQL, Python, and visualization tools to deliver end-to-end reporting. Strong communication and ability to manage multiple projects are essential.

Qualifications

• 5 years of experience in data analysis or reporting in a financial or risk-focused environment.
• Proficiency in SQL and Excel.
• Experience with Python, Jira, and Confluence.
• Nice to have Power BI and Tableau.

Responsibilities

• Be a part of the risk assessment team.
• Develop and maintain data quality scripts to support data requirements from enterprise risk assessment stakeholders.
• Maintain regular communication with cross-functional teams to support continuous improvement and data integrity.
• Work with 2nd Line of Defense on challenges as required.
• Engage Enterprise Protect stakeholders and data providers, validating data quality and results of metrics in reporting end to end.
• Support change awareness activities, providing expertise on KRI design and ongoing data analysis.

Skills

Problem solver

Attention to detail

Project management

Organizational skills

Education

Bachelor's degree

Tools

SQL

Excel

Python

Jira

Confluence

Power BI

Tableau

Job description

Randstad Digital is seeking a remote contractor specialized in data analysis and risk reporting. The role focuses on data quality, building analytics tools, and supporting risk management initiatives with automation and stakeholder engagement.

The candidate will work with Enterprise Protect data sources, leveraging SQL, Python, and visualization tools to deliver end-to-end reporting. Strong communication and ability to manage multiple projects are essential.