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

MR. D.I.Y. Trading Sdn. Bhd. (M)
CompanyMR. D.I.Y. Trading Sdn. Bhd. (M)
CategoryData & Analytics
LocationSeri Kembangan
Remote
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
First seen2 Aug 2026 (the employer did not state a posting date)
Last verified10 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
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