GENERAL FUNCTION

Senior Data Governance Analysts are responsible for leading complex analysis and problem-solving efforts that improve data quality, support governance objectives, and strengthen business decision-making.

This role partners closely with business, data, technology, and governance stakeholders to understand business processes, identify opportunities for improvement, and deliver practical solutions to data-related challenges.

The Senior Analyst operates with a high degree of independence and judgment while contributing to the team's broader goals and priorities. This role is a key contributor to building and maintaining confidence in data used across Commercial processes and reporting.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Data Quality Assessment & Issue Analysis

• Perform analysis of data quality issues across business processes, systems, and reporting environments
• Identify root causes and document findings, impacts, and recommendations
• Support prioritization of issues based on business risk and operational significance

Governance Execution & Adoption

• Apply governance standards, policies, and practices within assigned initiatives and workstreams
• Partner with stakeholders to clarify requirements, definitions, ownership, and accountability
• Support governance activities that improve consistency and transparency of data management practices

Control Analysis & Monitoring Support

• Analyze monitoring results and control outputs to identify trends, risks, and improvement opportunities
• Assist in evaluating control effectiveness and operational impact
• Contribute to assessments of data quality and data confidence within assigned domains

Workstream Delivery & Execution

• Independently manage assigned initiatives, assessments, and analytical efforts
• Coordinate activities across stakeholders to achieve defined objectives and deliverables
• Escalate risks, issues, and dependencies as appropriate

Business Partnership & Advisory Support

• Collaborate with stakeholders to understand business needs and data challenges
• Translate analytical findings into practical recommendations and next steps
• Support development of solutions that balance business needs, risk considerations, and operational feasibility

Continuous Improvement

• Identify opportunities to improve processes, controls, and data management practices
• Contribute ideas, documentation, and lessons learned that improve team effectiveness
• Share knowledge and expertise with peers across the organization

SUPERVISORY RESPONSIBILITIES

• This role does not have formal people management responsibilities
• May provide guidance, knowledge sharing, and support to less experienced analysts
• Serves as a subject matter resource within assigned areas of responsibility
• Contributes to a collaborative team environment focused on shared success and continuous improvement

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED

Experience / Knowledge

• Experience in data analysis, data quality, business analysis, or data governance within a commercial or financial services environment
• Understanding of business processes and their relationship to data creation, usage, and reporting
• Familiarity with data quality concepts, control frameworks, and operational processes

Analytical & Problem-Solving Skills

• Strong analytical and critical thinking skills
• Ability to investigate issues, identify root causes, and develop practical recommendations
• Ability to organize and analyze large amounts of information and draw meaningful conclusions

Execution & Delivery

• Demonstrated ability to independently manage complex assignments from initiation through completion
• Ability to balance multiple priorities while meeting deadlines and quality expectations
• Experience working effectively in cross-functional environments

Communication & Collaboration

• Ability to communicate complex topics clearly to both technical and non-technical audiences
• Strong written, verbal, and presentation skills
• Effective relationship-building and stakeholder-management skills

Ways of Working

• Demonstrates ownership and accountability for assigned work
• Exercises sound judgment and professional curiosity
• Approaches challenges with structure, discipline, and attention to detail
• Focuses on delivering practical, business-relevant outcomes
• Continuously seeks opportunities to improve processes, data quality, and operational effectiveness

WORKING CONDITIONS

• Normal office environment with little exposure to dust, noise, temperature and the like.
• Extended viewing of CRT screen.