Description: Business Analyst & Data Quality Specialist (Corporate Banking Focus)

Key Skills: Data Quality Management, Data Cleansing/Validation, Gap Analysis, Agile (Jira/ADO), Corporate Banking/Capital Markets Domain Expertise

Years of Experience: 7+ Years as a Business Analyst

Industry Type: Corporate Banking / Capital Markets / Investment Banking

Job Summary:

We are seeking a seasoned Business Analyst & Data Quality Specialist with 7+ years of experience in the Corporate Banking, Capital Markets, or Investment Banking domains. This role requires a blend of deep industry knowledge, exceptional business analysis skills, and technical proficiency in data quality (DQ) processes. The specialist will be responsible for reviewing and remediating complex data quality issues, implementing preventive controls, documenting data lineage, and driving strategic process and system improvements in an Agile environment using tools like Jira and Azure DevOps.

Job Description:

Data Quality Management and Remediation:

- Function as the subject matter expert in data quality (DQ) processes, demonstrating proficiency in key areas including data cleansing, blending, validation, and complex data transformation to ensure highly reliable datasets for analysis.

- Review and technically analyze diverse data quality issues (e.g., completeness, validity, consistency, accuracy) and lead comprehensive data remediation exercises in collaboration with business and IT teams.

- Design and implement robust preventive data controls at the source or process level to significantly reduce the occurrence of future data errors and improve upstream data hygiene.

- Meticulously document data lineage, rule logic, and detailed remediation steps to maintain a clear audit trail and support governance requirements.

Business Analysis and Process Improvement:

- Expertly perform gap analysis, assessing the pros and cons of potential solutions, and clearly articulating a precise problem statement for complex business and data challenges.

- Proactively suggest and drive process and system improvements that generate measurable, sustainable business value and enhance operational efficiency across banking functions.

- Collaborate closely with business users and technical teams to translate high-level business requirements into detailed, actionable data rules and system specifications.

Project Management and Stakeholder Engagement:

- Possess prior experience in managing projects using Agile methodologies, with technical proficiency in tools like Jira and Azure DevOps (ADO) for efficient project tracking, sprint management, and reporting.

- Utilize exceptional communication skills paired with robust stakeholder management capabilities, adept at engaging, influencing, and aligning a wide range of senior stakeholders (Business Heads, IT Directors, Data Governance).

- Ensure alignment between DQ initiatives, regulatory requirements, and the strategic roadmaps for core banking systems.

Required Skills & Expertise:

Domain Expertise: Mandatory 7+ years as a Business Analyst in Corporate Banking, Capital Markets, or Investment Banking.

Data Quality: Proficient in DQ processes: data cleansing, blending, validation, and transformation. Proven ability to review and drive data remediation exercises.

Analysis: Expert ability to perform gap analysis, assess pros/cons, and articulate clear problem statements.

Governance: Experience in documenting data lineage, rule logic, and remediation steps for audit purposes.

Methodology/Tools: Prior experience managing projects using Agile methodologies and proficiency in Jira and Azure DevOps.

Soft Skills: Exceptional communication skills paired with strong stakeholder management capabilities for engaging senior executives.