Data Analyst, Assistant Manager (Category Optimisation & Allocation)

MR.DIY; Seri Kembangan; On-site; MYR 90,000 - 140,000; Full time

Job summary

MR D.I.Y. Malaysia is seeking a Data Analyst, Assistant Manager (Category Optimisation & Allocation) to build forecasting models, evaluate performances, and run what-if simulations for strategic decisions.

The role requires strong Python/SQL skills, time series forecasting, and data-driven problem solving, working with cross-functional teams to optimize allocation and insights. The position emphasizes end-to-end project delivery, stakeholder engagement, and delivering analytics that influence

Qualifications

• Minimum 3–5 years of relevant experience in data analytics or similar field.
• Bachelor's degree in CS, Data Science, IT, or equivalent.
• Strong proficiency in Python and SQL; time series forecasting experience.
• Solid understanding of ML concepts and data-driven problem solving.

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 continually improve performance.
• What-if Simulation: Develop simulation models to evaluate business scenarios and assess impacts of pricing, display, and stock changes.
• Allocation Optimization: Design optimization models for inventory allocation across stores, balancing stock, demand and capacity.
• Dashboarding and Analytics: Create and maintain analytics that drive business decisions across platforms (e.g., dashboards).
• Data & Collaboration: Work with data stakeholders to ensure reliable data pipelines and translate requirements into analytics.
• Stakeholder Management: Communicate and collaborate with IT and business stakeholders; translate requirements clearly.
• Project Management (good to have): Manage end-to-end delivery, including scope, timelines, and priorities.
• Decision Making: Propose data-driven ideas and plan initiatives; execute effectively.
• Any Other Tasks as Assigned

Skills

Python

SQL

Time series forecasting

Predictive modeling

Data analysis

Machine Learning concepts

Analytical thinking

Project management

Stakeholder communication

Education

Bachelor's degree in CS/Data Science/IT

Tools

Pandas

scikit-learn

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Data Analyst, Assistant Manager (Category Optimisation & Allocation)

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”.