Job Description

Job Overview:

We are looking for a highly skilled Data Governance Business Analyst to join our team in an investment banking and financial services environment. This role focuses on ensuring transparency, integrity, and traceability of data by defining, documenting, and analyzing data quality and lineage across the bank’s systems. The ideal candidate will collaborate with business, operations, and technology teams to enhance understanding of how data is sourced, processed, transformed, and consumed across the organization.

Key Responsibilities:

Data Quality Governance:

• Oversee and manage a prioritized set of data elements to ensure compliance with internal policies and procedures, including ownership, controls, and cataloging.

Data Lineage Documentation & Analysis:

• Develop and maintain comprehensive documentation that tracks the flow and transformation of data across systems, from source to end-use applications.

Stakeholder Collaboration:

• Work closely with business stakeholders, data owners, product managers, and technology teams to understand data processes, flows, and related systems.

Governance & Compliance Enhancements:

• Identify gaps and issues in data lineage, recommend improvements, and ensure adherence to data governance and quality standards.

Business Requirements Analysis:

• Translate business needs into technical requirements for data systems, including reporting, risk management, and regulatory compliance.

Testing & Validation:

• Support validation and testing of data pipelines to ensure accuracy and alignment with business requirements.

Qualifications:

• Bachelor's degree in Business, Finance, Computer Science, Information Systems, or a related field (Master’s degree is a plus).
• 3+ years of experience as a Business Analyst, Data Analyst, or in a similar role within financial services or investment banking.
• Strong understanding of data management, data governance, and data lineage principles.
• Knowledge of financial products and banking systems is highly desirable.
• Proficiency in SQL for data extraction and analysis.
• Familiarity with data modeling, mapping tools, and data integration technologies.
• Experience with regulatory and compliance frameworks such as BCBS 239, GDPR, or MiFID II.
• Excellent communication and interpersonal skills, with the ability to engage stakeholders at all levels.

Preferred Skills:

• Experience with data lineage tools (e.g., Alation, Collibra, Informatica).
• Understanding of ETL processes and data transformation pipelines.
• Ability to work in a fast-paced, high-pressure environment.

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