Assistant Manager (Category Optimisation & Allocation)

MR.DIY Group (M) Berhad; Seri Kembangan; On-site; MYR 90,000 - 130,000; Full time

Job summary

MR.DIY Group (M) Berhad in Malaysia seeks a data analytics professional to build forecasting models, evaluate accuracy, and develop simulation tools to assess pricing and stock scenarios. The role emphasizes inventory optimization, dashboarding, data pipelines, and close collaboration with IT and business stakeholders to translate requirements into actionable analytics.

A bachelor's degree in CS/DS/IT is required, with 3–5 years of experience and strong Python/SQL skills, including time series

Qualifications

• Minimum 3–5 years of relevant experience in a similar field.
• 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., 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
• Strong stakeholder management skills, with the ability to engage and collaborate across diverse teams
• Demonstrated critical and creative thinking abilities
• Effective problem-solving skills with the ability to develop practical and innovative solutions

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 stock, demand and capacity.
• Dashboarding and Analytics: Create and maintain analytics that drive business decisions across platforms (e.g., dashboards).
• Data & Collaboration: Ensure reliable data pipelines and translate business requirements into analytical solutions.
• Stakeholder Management: Communicate and collaborate with IT and business stakeholders; translate requirements clearly.
• Project Management: Manage end-to-end project delivery, including scope, timelines, priorities, and engagement (good to have).
• Decision Making: Propose data-driven ideas to optimize models and initiatives; plan and execute.
• Any Other Tasks as Assigned

Skills

Time series forecasting

Data analysis

Problem solving

Analytical thinking

Data-driven mindset

Creative thinking

Stakeholder management

Project management

Education

Bachelor's degree in Computer Science, Data Science, IT, or equivalent

Tools

Python

SQL

Job 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