Business Analyst, Data Governance

Qualifications Bachelor’s degree in Business Analysis, Computer Science, Information Systems, or a related field; or equivalent work experience. Professional development in Information Management or CDMP (Certified Data Management Professional) is an added advantage. Previous experience in analyzing business processes and system behaviors, with an understanding of how data flows through the organization. Hands-on experience conducting root cause analysis of data issues and identifying underlying process failures. Proven experience in applying Data Governance principles; data quality rules, metadata, stewardship, and standards to business workflows. Demonstrated ability to map and document business processes using workflow, data flow, or swimlane diagrams. (a) Data Process Analysis & Root-Cause Investigation Analyse end-to-end data processes to understand how data is created, transformed, and consumed. Conduct root-cause analysis of data quality issues and identify breakdown in process, ownership, or standards. Map current state workflows and document pain points, data dependencies, and business impacts. (b) Deg and Recommending Data Process Improvements Collaborate with business partners, Data Governance, and IT to design improved workflows, data quality controls, and stewardship steps. Evaluate solution options (existing vs. new) and assess impact on upstream/downstream systems and teams. Support the development of business requirements, user stories, and acceptance criteria focused on data outcomes. (c) Embedding Data Governance Practices in Business Processes Ensure that standards, definitions, data quality rules, and stewardship roles are integrated into business workflows. Support teams in applying enterprise Data Governance guidelines and procedures. Partner with Data Stewards and data owners to improve adherence and resolve recurring governance issues. (d) Stakeholder Engagement, Communication & Change Support Facilitate workshops, working sessions, and discussions to clarify data requirements and reconcile conflicting needs. Clearly communicate findings, recommendations, and impacts to both technical and non‑technical audiences. Assist in change management activities related to new data processes or governance practices. (e) Documentation, Reporting & Continuous Improvement Maintain documentation of data processes, decision logs, requirements, and governance artifacts. Track benefits, improvements, and recurring issues. Identify new opportunities to enhance data quality and streamline workflows.