Data Management Analyst

Data Management Analyst

Duration: 12+ Month(s) Location: Summit, NJ Hybrid Role

Job Description:

In this contingent resource assignment, you may:

• Consult on complex initiatives with broad impact and large-scale planning for Data Management.
• Review and analyze complex multi-faceted, larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Key Responsibilities:

• Ensure data integrity and compliance for regulatory reporting requirements (e.g., FR 2052a, CRA, FR Y-14M, BSA/AML, etc.,).
• Analyze large, complex datasets to uncover gaps, inconsistencies, and data quality issues.
• Analyze and formalize business requirements into clear, actionable technical deliverables.
• Define, document, and maintain data quality rules and associated metadata.
• Manage and track data flows while understanding end-to-end data lineage across systems.
• Ensure adherence to data governance standards.
• Partner with internal stakeholders to investigate and disposition data issues

Required Qualifications:

• Bachelor's or master's degree in Computer Science, Data Analytics, Finance, or related field.
• Strong background in financial services, particularly within the Commercial Banking domain.
• Advanced proficiency in SQL, Excel, and data profiling techniques.
• Demonstrated expertise in data quality principles & framework, and regulatory reporting practices.
• Experience in data modeling, data lineage analysis, and metadata management.
• Familiarity with key regulations such as FR Y-14Q, BSA/AML, and 2052a, including their data implications.
• Good written and verbal communication skills.
• Strong stakeholder management, analytical thinking, and problem-solving capabilities.
• Highly organized, detail-oriented, and able to manage multiple priorities effectively.
• Experience facilitating and leading stakeholder working group sessions.

Preferred Qualifications:

• Familiarity with data quality tools (e.g., Ab Initio IT express, Alteryx, Qualytics etc.).
• Experience with Google Cloud Platform (GCP), especially BigQuery.
• Knowledge/experience in AI Platforms such as Tachyon, Microsoft Copilot, ChatGPT, etc.