Kerja Sepenuh Masa, Executive Data Review (2 Years Contract) di MISC Group Federal Territory - Maukerja

This role resides under MISC Marine (the Integrated Marine Services arm of MISC Group) and a 2-Years Contract role

Key Accountabilities

1. Data Review & Validation

• Conduct detailed reviews of master and transactional data to ensure data accuracy, completeness, consistency, and compliance with established standards.
• Perform data validation activities against business rules, data quality requirements, and migration criteria.
• Support business users in reviewing and verifying data extracted from legacy systems.
• Coordinate data review workshops and validation sessions with business stakeholders.

2. Data Cleansing & Quality Management

• Identify data gaps, duplicates, inconsistencies, and quality issues requiring remediation.
• Support data cleansing exercises and monitor progress towards data readiness targets.
• Maintain data issue logs and track remediation activities through to closure.
• Assist in establishing and monitoring data quality metrics and reporting.

3. Data Migration Support

• Support the Data Lead in preparing data migration templates, validation criteria, and reconciliation requirements.
• Participate in mock migration and data testing cycles.
• Validate migrated data and verify completeness and accuracy against source systems.
• Assist in reconciliation activities before, during, and after migration exercises.

4. Testing & Go-Live Readiness

• Support data-related activities during System Integration Testing (SIT), User Acceptance Testing (UAT), and cutover preparations.
• Work with business users and technical teams to investigate and resolve data-related defects.
• Verify that critical data is available, complete, and accurate for operational use before go-live.
• Support final data sign-off activities from business data owners.

5. Documentation & Data Governance

• Maintain data review records, reconciliation reports, issue logs, and supporting documentation.
• Assist in developing and maintaining data dictionaries, mapping documents, and governance artefacts.
• Ensure data-related documentation remains accurate and audit-ready throughout the project lifecycle.
• Support adherence to project data governance standards and procedures.

6. Stakeholder Coordination

• Liaise with business users, data owners, functional teams, and system integrators regarding data review activities.
• Assist in coordinating data collection, validation, and remediation efforts across multiple business functions.
• Provide timely updates to the Data Lead on data quality status, risks, dependencies, and outstanding issues.

7. Post Go-Live Data Support

• Assist in resolving post go-live data issues and reconciliation activities.
• Support validation of reporting outputs and operational transactions following deployment.
• Coordinate user feedback related to data quality and master data concerns.
• Monitor the resolution of data-related incidents during stabilization and hypercare periods.

8. People Development

• Promote awareness of data quality, data ownership, and governance responsibilities among business stakeholders.
• Support users in understanding data standards, validation requirements, and review procedures.

9. Vision & Mission

• Support the achievement of the organization’s digital transformation objectives by ensuring high-quality, reliable, and trusted project data.

EXPERIENCE

• Minimum 3–5 years’ experience in data management, data administration, business analysis, finance operations, ERP support, or related functions.
• Experience participating in system implementation, ERP deployment, data migration, or digital transformation projects is preferred.
• Experience performing data validation, cleansing, reconciliation, and reporting activities.
• Familiarity with master data management and data governance practices is an advantage.
• Experience in maritime, logistics, energy, or asset-intensive industries is an added advantage.

QUALIFICATIONS

• Bachelor's Degree in Information Systems, Computer Science, Data Analytics, Business Administration, Finance, Accounting, Engineering, or related discipline.
• Certification in Data Management, Business Analysis, ERP Systems, or related fields is an added advantage.
• Advanced proficiency in Microsoft Excel and data analysis tools is preferred.