Routiqo

Assistant Manager (Category Optimisation & Allocation)

MR D.I.Y. Group

  • Seri Kembangan, Malaysia
  • Full-time

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

Skills

  • Analytical
  • Machine Learning
  • Pandas
  • Problem solving
  • Project Management
  • Python
  • Scikit learn
  • SQL
  • Stakeholder management
  • Teamwork