JOB PURPOSE
The Data Migration Manager is responsible for planning, managing, and executing data migration activities to ensure the accurate, secure, and timely transfer of data from existing systems to new systems. The role oversees data extraction, transformation, cleansing, validation, and loading while ensuring data integrity and quality throughout the migration process. The position also supports data analysis, database management, reporting, and process improvement initiatives to enhance business and operational efficiency.
KEY RESPONSIBILITIES
1. Data Migration & System Implementation
- Develop, review, and maintain data migration scripts to facilitate the transfer of data from one system to another. - Plan and manage end-to-end data migration activities, including data extraction, transformation, cleansing, validation, and loading. - Ensure migrated data is accurate, complete, consistent, and aligned with the requirements of the target system. - Conduct data reconciliation and validation to identify and resolve migration issues. - Work closely with technical teams, system vendors, and business users to ensure successful migration and system implementation.
2. Data Analysis & Reporting
- Interpret data and analyse results using appropriate statistical and analytical techniques. - Identify and interpret trends, patterns, anomalies, and relationships within complex data sets. - Prepare and provide regular reports, dashboards, and data insights to support management decision-making. - Translate complex data findings into meaningful business insights and recommendations.
3. Database & Data Management
- Develop and implement databases, data collection systems, and data analytics solutions to improve data management and operational efficiency. - Acquire data from primary and secondary sources and ensure the accuracy, integrity, and availability of data. - Maintain and monitor databases and data systems to ensure reliability and performance. - Establish appropriate data management practices, standards, and controls.
4. Data Quality & Cleansing
- Filter, cleanse, and validate data by reviewing system reports, data extracts, printouts, and performance indicators. - Identify data inconsistencies, coding errors, duplication, and other data quality issues and coordinate corrective actions. - Establish data quality checks and validation procedures throughout the migration lifecycle. - Ensure data complies with agreed standards and business requirements.
5. Stakeholder & Project Management
- Work closely with Management and relevant stakeholders to understand and prioritise business and information requirements. - Coordinate with IT, business users, system vendors, and project teams on data-related requirements and issues. - Monitor migration progress, identify risks and dependencies, and ensure timely resolution of issues. - Provide regular updates to Management on migration status, data quality, key risks, and outstanding issues.
6. Process Improvement & Optimisation
- Identify opportunities for process improvement through data analysis and technology enhancement. - Evaluate existing data processes and recommend improvements to increase efficiency, accuracy, and productivity. - Develop and implement strategies that optimise data collection, processing, reporting, and analytical efficiency.
7. Other Duties
- Perform any other duties and responsibilities as assigned by the superior from time to time.
REQUIREMENT
- Minimum 5 years of relevant working experience in Data Migration, Data Analytics, Database Management, or a related field, with proven experience in leading or managing data migration projects. - Proven working experience as a Data Analyst, Data Migration Specialist, or in a similar data-related role. - Demonstrated experience in leading data migration projects or teams, including planning, coordination, data validation, issue resolution, and successful delivery within agreed timelines. - Strong technical knowledge and hands-on experience in data modelling, database design and development, data mining, and data segmentation techniques. - Strong knowledge and practical experience with reporting and business intelligence tools, such as BusinessObjects, as well as databases including Oracle SQL and PL/SQL. - Good knowledge of statistical concepts and data analysis techniques, with practical experience using statistical and analytical tools, particularly Microsoft Excel. - Strong analytical, problem-solving, and attention-to-detail skills, with the ability to work with large and complex datasets. - Good communication and stakeholder management skills, with the ability to work effectively with technical teams, business users, Management, and external vendors.
Pay: From RM7,500.00 per month
Benefits:
- Free parking
- Health insurance
- Maternity leave
- Meal allowance
- Opportunities for promotion
- Professional development
Work Location: In person
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