Data Analyst / Data Science - Senior Executive / Assistant Manager (Category Optimisation & Allocation)
MR. D.I.Y. Trading Sdn. Bhd. (M)
| Company | MR. D.I.Y. Trading Sdn. Bhd. (M) |
| Category | Data & Analytics |
| Location | Seri Kembangan |
| Remote | — |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 10 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Key Responsibilities:
• Prediction and Forecast Models
Build and maintain forecasting models to support business planning and decision-making
• Model Evaluation
Evaluate model accuracy using appropriate metrics and continuously improve model performance
• What-if Simulation
Develop simulation models to evaluate business scenarios
Assess the impact of pricing, display, and stock changes
• Allocation Optimization
Design optimization models for inventory allocation across stores
Balance constraints such as stock availability, demand, and capacity
• Dashboarding and Analytics
Create and maintain impactful analytics that drive business decisions across various platforms (e.g., dashboards)
• Data & Collaboration
Work with data stakeholders to ensure reliable data pipelines and translate business requirements into analytical solutions
• Stakeholder Management
Communicate and collaborate with stakeholders from diverse backgrounds (e.g., IT and business)
Translate requirements into clear and understandable terms for all relevant parties
• Project Management (good to have)
Manage end-to-end project delivery, including defining scope, timelines, priorities, and stakeholder engagement
• Decision Making
Propose data-driven ideas such as optimizing machine learning models and alternative solutions
Plan and execute initiatives effectively
• Any Other Tasks as Assigned
Requirements:
• Minimum 3-5 years of relevant experience in a similar field
• Possess at least a Bachelor’s Degree in Computer Science, Data Science, Information Technology, or an equivalent combination of education and practical experience
• Strong proficiency in Python (e.g., libraries such as pandas, sklearn) and SQL
• Hands-on experience in time series forecasting and predictive modeling
• Excellent analytical and problem-solving skills with a data-driven mindset
• Solid understanding of Machine Learning concepts and techniques
• Proven experience in project management, including planning, execution, and delivery (good to have)
• Strong stakeholder management skills, with the ability to engage and collaborate across diverse teams (good to have)
• Demonstrated critical and creative thinking abilities
• Effective problem-solving skills with the ability to develop practical and innovative solutions