The Data Management Executive supports the transformation of raw and fragmented data into structured, reliable, and analysis-ready information for organizational use.
This role focuses on building and maintaining data pipelines, supporting data requests, and improving dashboards to enable timely, accurate insights for management and ELT decision-making.
Working closely with the Data Management Manager and stakeholders, the executive contributes to scalable, secure, and high-quality data systems that strengthen organizational reporting and performance.
KEY RESPONSIBILITIES
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.
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.
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.
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.
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.
QUALIFICATIONS & EXPERIENCE
- 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.
PERFORMANCE INDICATORS
- Accuracy, timeliness, and user satisfaction in fulfilling data requests and dashboard enhancements.
- Efficiency and effectiveness of scripts, queries, and data pipelines.
- Quality, reliability, and usability of reports and dashboards produced.
- Contribution to organization-wide data transformation and increased use of data for decision-making.
- Compliance with data governance standards and proper documentation practices.
- Continuous process improvement and optimization of data workflows.