Job Related Experience: Strong networking and project management background. Prior experience in Corporations, Government, Government-related consultancies, or Government related roles in the private sector (Public policy, Gov Relations, Public Affairs) would be appreciated.
Specific Knowledge / Skills: Proficiency in Bahasa Malaysia and English, networking, persuasion, presentation, communications, coordination, execution, and implementation
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
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Bachelor's Degree in Business Administration, Finance, Economics, Engineering, Operations Management, or a related field.
Minimum 5 years of experience in PMO, business performance management, commercial operations, consulting, business strategy, finance, or related fields.
Strong understanding of P&L management, financial analysis, productivity measurement, and business performance management.
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• Your profile 8-10 years' experience in designing, building, managing, and maintaining large-scale data solutions across diverse industries.
• Expert-level proficiency in SQL, data modelling concepts, analytics and implementation methods, with a proven ability to apply these skills in complex data environments.
• In-depth knowledge of cloud computing platforms, particularly Azure, and key data components including Azure Data Factory, Databricks and PySpark, Azure Synapse, and dbt.
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Suitable backgrounds include Marketing, Advertising, Digital Marketing, Multimedia, Graphic Design, Business, E-commerce and related fields. The candidate should understand basic marketing, consumer behaviour, e-commerce and digital platforms, and must have basic design skills.
A genuine interest in skincare and beauty is important. The candidate should enjoy exploring products, ingredients, trends and consumer needs and be willing to learn about professional skincare and treatments.
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