Data Analyst, Senior Executive / Assistant Manager (Category Optimisation & Allocation)

MR.DIY Group (M) Berhad; Seri Kembangan; On-site; MYR 90,000 - 150,000; Full time

Job summary

MR.DIY Group (M) Berhad is seeking a skilled data science professional in Malaysia to build forecasting models, evaluate performance, and drive data-driven decisions across the business. The role emphasizes collaboration with IT and business teams to deliver actionable insights and scalable analytics.

The ideal candidate has 3–5 years of related experience, strong Python/SQL capabilities, and hands-on experience with time series forecasting and predictive modeling.

Qualifications

• 3–5 years of relevant experience in a similar field.
• Bachelor’s Degree in CS/DS/IT or equivalent.
• Strong Python and SQL skills with data manipulation experience.
• Hands-on time series forecasting and predictive modeling.
• Analytical, data-driven mindset with problem-solving skills.
• Solid understanding of machine learning concepts.
• Experience in project management is a plus.
• Strong stakeholder management and collaboration skills.
• Demonstrated critical and creative thinking abilities.
• Ability to translate requirements into analytical solutions.

Responsibilities

• Prediction and Forecast Models: Build and maintain forecasting models.
• Model Evaluation: Assess model accuracy and improve performance.
• What-if Simulation: Develop simulation models for pricing, display, stock changes.
• Allocation Optimization: Design models for inventory allocation across stores.
• Dashboarding and Analytics: Create analytics and dashboards for decisions.
• Data & Collaboration: Ensure reliable data pipelines and translate requirements.
• Stakeholder Management: Communicate with IT and business partners.
• Project Management (good to have): Define scope, timelines, priorities, engagement.
• Decision Making: Propose data-driven ideas and execute initiatives.
• Any Other Tasks as Assigned

Skills

Python

SQL

Time series forecasting

Predictive modeling

Analytical thinking

Machine learning concepts

Project management

Stakeholder management

Creative thinking

Problem solving

Education

Bachelor’s Degree in Computer Science, Data Science, IT

Tools

pandas

scikit-learn

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