Background information about the job or company (e.g., role context, company overview)

With 75 years of experience, our focus is on helping the most vulnerable children overcome poverty and experience fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our Christian faith.

Come join our 33,000+ staff working in nearly 100 countries and share the joy of transforming vulnerable children’s life stories!

Employee Contract Type:

Local - Fixed Term Employee (Fixed Term)

Responsibilities or duties

The Business Analyst, Data Governance will be responsible for analyzing, improving, and supporting the business’s data processes to strengthen data quality, integrity, and trust across the organization.

They serve as a liaison between business stakeholders and technical teams to translate data-related needs into clear requirements that improve how data is created, managed, and used throughout its lifecycle.

Key Job Responsibilities:

(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) Designing 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.

Qualifications or requirements (e.g., education, skills)

Required Education, Professional Experience, Knowledge, and Skills for the Role:

• 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.

Experience needed

• 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.
• Ability to gather, document, and translate business requirements into data-focused technical specifications.
• Strong analytical experience with the ability to identify patterns, inconsistencies, and process improvement opportunities.
• Ability and experience working with cross-functional stakeholders to align on data definitions, requirements, and process changes.
• Proven ability to communicate clearly with both technical and non-technical audiences.
• Experience with facilitation, leading workshops, discovery sessions, or problem-solving discussions.
• Ability to integrate data standards or quality expectations into operational processes.
• Ability to manage multiple tasks and collaborate effectively with business partners, IT teams, and Data Stewards.
• Proven experience simplifying complex concepts for colleagues with mixed levels of data literacy.
• Demonstrated capability to work in environments with evolving data practices and contribute to continuous improvement.

• 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.
• 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.
• 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.
• 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.
• 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.

• Data Process Analysis
• Root-Cause Investigation
• Data Quality Management
• Workflow Mapping
• Business Requirements Gathering
• Stakeholder Engagement
• Communication
• Change Management
• Documentation
• Reporting
• Continuous Improvement
• Data Governance Principles
• Metadata Management
• Data Stewardship
• Process Improvement
• Facilitation
• Problem-Solving

• 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.