To ensure effective sales planning, coordinated order fulfilment and efficient logistics scheduling by aligning customer demand with production capacity, inventory availability and delivery requirements.
Relevant qualification in Business Administration, Sales and Marketing, Supply Chain Management, Logistics, or a related discipline.
Relevant experience in sales coordination, order management, production planning, supply planning, or logistics coordination. Experience in a manufacturing environment, particularly within the paper mill or corrugated carton industry, will be an added advantage.
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Sales and Demand Planning
Order Management and Fulfilment
Production and Inventory Coordination
Logistics and Delivery Coordination
Data Analysis and Microsoft Excel
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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Quantity Surveying
Cost Estimation
Contract Administration
Tender Preparation
Bill of Quantities (BOQ) Production
Construction Cost Management
Procurement
Value Engineering
Risk Assessment
Project Management
Diploma or Certificate in Accounting, Finance, Business Administration, or a related field.大专或证书学历,主修会计、金融、工商管理或相关科系。
1–2 years of relevant working experience in accounting or administration is preferred. Fresh graduates are encouraged to apply.具备 1–2 年会计或行政相关工作经验者优先;欢迎应届毕业生申请。
Basic understanding of accounting principles and bookkeeping practices.具备基本会计原理及记账知识。
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Accounting Software
Data Entry
Microsoft Excel
Bookkeeping
Accounts Payable
Accounts Receivable
Financial Record Keeping
Reconciliation
Attention to Detail
Organizational Skills
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
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Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
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KOL Marketing
Influencer Marketing
Campaign Management
Communication Skills
Negotiation Skills
Social Media Marketing
Content Creation
Key Opinion Leader (KOL) Management
Social Media Strategy
Performance Analysis
Administrative Support
Data Entry
Communication Skills
Customer Service
Office Management
Record Keeping
Scheduling
Microsoft Office Suite
Computer Literacy
Bachelor's Degree in Business Administration, Automotive Management, Sales & Marketing, or a related discipline is essential.
Minimum of 5-7 years of progressive leadership experience within the automotive retail industry, with at least 3 years specifically in a managerial or supervisory role.
Demonstrable track record of consistently achieving and exceeding sales targets within defined timeframes.
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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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Good communication and interpersonal skills.
Basic knowledge of Microsoft Office
especially Microsoft Word and Excel.
Good organisational and time-management skills.
Detail-oriented
responsible and willing to learn.
Able to maintain confidentiality when handling employee and company information.
Able to work independently and as part of a team.
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.
...
Bachelor's Degree in Business Administration, Automotive Management, Sales & Marketing, or a related discipline is essential.
Minimum of 5-7 years of progressive leadership experience within the automotive retail industry, with at least 3 years specifically in a managerial or supervisory role.
Demonstrable track record of consistently achieving and exceeding sales targets within defined timeframes.
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Office Administration
Record Keeping
Communication Skills
Time Management
Data Entry
Problem Solving
Organizational Skills
Teamwork
Attention to Detail
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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