Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Data Governance Analyst (ID: 3847) role.

Rezi rewrites your resume against STAFIDE's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Governance Analyst (ID: 3847) posting at STAFIDE — free, in seconds.

About the Role

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.

Responsibilities

Support Credit Risk data management initiatives.
Collaborate with business stakeholders, Technical Developers, IT teams, and Solution Architects.
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 and coordinate resolution activities.
Support continuous data quality improvement efforts.
Analyze data structures, databases, data warehouses, and SQL-based datasets.
Prepare clear documentation, data definitions, process artifacts, and stakeholder communications.
Facilitate discussions with business and technology teams on data standards and governance practices.
Lead small teams and drive delivery against agreed objectives.
Ensure quality and timely execution of deliverables.

Requirements

8+ years of professional experience.
Minimum of 3 years in the banking or financial services industry, preferably within the Credit Risk domain.
Hands-on experience in data management.
Exposure to data governance practices.
Familiarity with data governance tools such as Collibra.
Experience with 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.
Ability to translate business requirements into effective data management and governance solutions.
Ability to work closely with business users, IT teams, developers, and architects.
Ability to analyze complex datasets and identify data quality, governance, and process improvement opportunities.
Ability to create and maintain business glossaries, metadata documentation, and data definitions.
Ability to communicate complex concepts clearly to both technical and non-technical stakeholders.
Ability to prioritize tasks effectively and manage multiple deliverables in a fast-paced environment.
Ability to drive issue resolution by coordinating with relevant stakeholders.
Ability to lead small teams and ensure successful delivery of assigned initiatives.

Skills

Data Governance
Data Management
Metadata Management
Data Catalog
Business Glossary
Data Quality
SQL
Collibra

Experience Level

8+ years of professional experience
3+ years in banking or financial services
Experience leading small teams

Benefits

Opportunity to work on strategic Credit Risk and Data Governance initiatives.
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.