World Vision Malaysia Hiring! Full Time Data Management Associate in Selangor - Ricebowl

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline.

• 2–3 years of experience in ETL development, data integration, or data engineering. Fresh graduates with relevant skills are encouraged to apply.

• Working knowledge of data visualization tools (e.g., Power BI or similar platforms).

• Hands-on experience with database queries (MSSQL, including DDL and DML).

• Knowledge of Python or other programming languages is an added advantage.

• Strong analytical and problem-solving skills with attention to detail.

• Fast learner, able to work independently with guidance and contribute effectively as part of a team.

• Good communication skills in English and Chinese (written and spoken).

• Strong interest in Data Analytics and Data Science.

Core competencies

• Analytical Thinking – Interprets data requirements, analyses datasets, and provides structured solutions.

• Technical Acumen – Applies knowledge of data pipelines, databases, and scripting to support data integration and reporting.

• Data Optimization – Improves data accuracy, structure, and usability to support analysis and decision-making.

• Collaboration – Works effectively with stakeholders across departments to deliver data solutions.

• Accountability – Takes ownership of deliverables, timelines, and data quality under guidance of the Data Manager.

• Innovation & Learning – Continuously builds knowledge of new tools, technologies, and data practices.

1. Data Pipeline Development & Management

• Analyze, design, and build ETL/ELT processes for small to medium-scale projects under guidance from senior team members.

• Maintain and optimize existing data pipelines to improve performance, scalability, and reliability.

• Support the monitoring of data workflows and assist in troubleshooting issues to ensure smooth data operations.

• Document data architecture, workflows, and technical processes for continuity and improvement.

2. Data Analysis & Reporting Support

• Develop SQL queries and perform data analysis to support reporting and operational requirements.

• Support the preparation and enhancement of dashboards and reports for business users and management.

• Translate raw data into structured and usable formats for analysis and decision-making.

• Work with stakeholders to clarify reporting needs and deliver timely data solutions.

3. Data Quality & Optimization

• Perform data profiling, cleansing, and validation to ensure data accuracy and consistency.

• Identify data gaps, inconsistencies, and process bottlenecks, and recommend improvements.

• Support initiatives to improve data structure, standardization, and usability across systems.

• Contribute to continuous improvement of data processes and workflows.

4. Data Governance & Compliance

• Support data governance initiatives and ensure adherence to data management standards and policies.

• Maintain proper documentation of ETL processes, data flows, and reporting logic.

• Ensure data security, confidentiality, and integrity in handling organizational information.

• Assist in implementing best practices in data management and reporting.

5. Collaboration & Stakeholder Support

• Work closely with the Data Management Manager, IT, and business teams to understand data requirements.

• Provide support in resolving data requests and system enhancements.

• Contribute to cross-functional data initiatives that strengthen organizational reporting and decision-making.

• Demonstrate teamwork, accountability, and responsiveness in delivering data solutions.

• Annual Leave
• EPF
• SOCSO