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Job Benefit

  • Laptop
  • Insurance
  • Allowances
  • International Travel Opportunity
  • Incentive bonus
  • Health checkup
  • Salary review
  • Business Expense
  • Seniority Allowance
  • Annual Leave

Job Description

  • Team Management Support: Oversee and guide team members in data collection, storage, and processing tasks, ensuring high standards of data quality and accuracy.
  • Data Strategy and Processes: Collaborate with the Data Manager to implement effective data strategies and workflows, ensuring data security and compliance across the organization.
  • Data Warehouse Development: Lead or support the design, development, and maintenance of a robust data warehouse architecture to centralize and streamline data storage.
  • ETL Process Design and Optimization: Develop, manage, and optimize ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse, ensuring high-quality, timely data availability for analysis.
  • Data Quality Assurance: Monitor and enforce data quality checks, ensuring the integrity and accuracy of datasets throughout their lifecycle.
  • Data Analysis Support: Work closely with other business units to understand data requirements and deliver insights that support business decisions.
  • Process Improvement: Identify opportunities to optimize data workflows, improve the efficiency of data collection, processing, and analysis.
  • Reporting and Analytics: Create and maintain regular reports on data operations, performance, and outcomes, providing detailed insights for decision-making.
  • Compliance and Security: Ensure all data management processes comply with internal policies and external regulations regarding data protection and security.

Job Requirement

Education level, certification:

  • Bachelor’s or Master’s degree in Data Science, Information Technology, Mathematics, Economics, or a related field.

Experience:

  • 5-8 years of experience in data management or analytics, with at least 2-3 years in a supervisory or management support role.
  • Experience with data analytics tools such as SQL, Python, R, Tableau, Power BI, or similar platforms.
  • Proven experience in building and maintaining data warehouses, including architecture design, implementation, and optimization.
  • Solid experience in designing, developing, and managing ETL (Extract, Transform, Load) pipelines to integrate data from multiple sources into a centralized data platform.
  • Strong understanding of data governance, data quality management, and data security protocols.

Skill:

  • Strong leadership and team management abilities, with effective communication and collaboration skills.
  • Problem-solving and analytical thinking with a data-driven approach to decision-making.
  • Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • Strong organizational skills, with the ability to manage multiple tasks and meet deadlines in a fast-paced environment.

Preferred Skills:

  • Strong leadership and team management abilities, with effective communication and collaboration skills.
  • Knowledge of AI and Machine Learning technologies is a plus.
  • Experience working with big data systems or advanced data management platforms is a plus.

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