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Data Analyst, Assistant Manager (Category Optimisation & Allocation)

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Onsite

Data Analyst, Assistant Manager (Category Optimisation & Allocation)

MR D.I.Y Trading Sdn Bhd

Data Analyst, Assistant Manager (Category Optimisation & Allocation)

Skills

SQL QueriesPythonData SciencepandasData AnalysisMachine Learning

1 month ago

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Important information


Contract type:

Permanent

Location:

Seri Kembangan, Selangor, Malaysia

Work mode:

Onsite

Published on:

8 September 2026

What they need


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

As we continue our rapid expansion across the Klang Valley and other states in Malaysia, we're seeking passionate and qualified Malaysian to join our growing team.

In 2024, we recorded an Employee Satisfaction Score of 91% - a meaningful benchmark that reflects our ongoing commitment to creating a workplace where people thrive.

MR D.I.Y. is a home-grown enterprise with over 1,300 stores across Malaysia and Brunei. The home improvement retailer has dedicated to make a positive difference in the lives of its valued customers by offering convenience at all its stores nationwide and online at mrdiy.com.my

All MR. D.I.Y. stores are managed directly and the retailer often works in collaboration with owners of shopfront properties or owners of malls. MR. D.I.Y. stores offer a wide selection of SKUs across five major categories, namely hardware; household and furnishing; electrical; stationery and sports equipment products; and others (comprising toys, car accessories, jewellery, cosmetics, food and beverage items, as well as health and personal care).

The Company strives to put its customers first by operating an innovative business that is flexible when it comes to providing a wide variety of products, good quality and value-for-money, holding true to the Company’s motto of “Always Low Prices”.

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