jobs in MR DIY Malaysia

全职 Senior Data Analyst 工作, 薪水, MR DIY Malaysia Selangor 公司招聘中 - Ricebowl

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工作地点

  • Seri Kembangan Selangor Malaysia

职位描述

岗位职责

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

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