Data Governance Analyst (ID: 3847)

Data Governance Analyst (ID: 3847)

As a Data Governance Analyst, you will:

• Support Credit Risk data management initiatives within the banking and financial services domain.
• Collaborate with business stakeholders, Technical Developers, IT teams, and Solution Architects to define and implement data-related solutions.
• Contribute to data governance activities, including metadata management, data catalog maintenance, and business glossary development.
• Monitor data quality issues, coordinate resolution activities, and support continuous data quality improvement efforts.
• Analyze data structures, databases, data warehouses, and SQL-based datasets to support business requirements.
• Prepare clear documentation, data definitions, process artifacts, and stakeholder communications.
• Facilitate discussions with business and technology teams to ensure alignment on data standards and governance practices.
• Lead small teams and drive delivery against agreed objectives while ensuring quality and timely execution.

What You Bring to the Table:

• 8+ years of professional experience, including a minimum of 3 years in the banking or financial services industry, preferably within the Credit Risk domain.
• Hands-on experience in data management and exposure to data governance practices.
• Familiarity with data governance tools such as Collibra, including metadata management and data catalog support activities.
• Experience working with data quality concepts, issue identification, monitoring, and remediation processes.
• Strong understanding of data structures, databases, data warehouses, and SQL.
• Proven experience collaborating with cross-functional business and technology stakeholders.
• Strong analytical, problem-solving, and documentation capabilities.
• Experience leading small teams and managing deliverables against defined objectives.

You should possess the ability to:

• Translate business requirements into effective data management and governance solutions.
• Work closely with business users, IT teams, developers, and architects in a collaborative environment.
• Analyze complex datasets and identify data quality, governance, and process improvement opportunities.
• Create and maintain business glossaries, metadata documentation, and data definitions.
• Communicate complex concepts clearly to both technical and non-technical stakeholders.
• Prioritize tasks effectively and manage multiple deliverables in a fast-paced environment.
• Drive issue resolution by coordinating with relevant stakeholders across business and technology functions.
• Lead small teams and ensure successful delivery of assigned initiatives.

What we bring to the table:

• Opportunity to work on strategic Credit Risk and Data Governance initiatives within the banking and financial services sector.
• Exposure to enterprise-wide data management, governance, and data quality programs.
• Collaborative environment with business, risk, and technology stakeholders.
• Opportunities to enhance expertise in data governance frameworks, metadata management, and data quality practices.
• Challenging projects that foster professional growth, leadership development, and continuous learning.
• A platform to contribute to data-driven decision-making and organizational transformation initiatives.