Executive, Inventory Planning Optimisation

5 days ago


Seri Kembangan, Selangor, Malaysia MR DIY Malaysia Full time 60,000 - 120,000 per year

The Executive, Inventory Planning Optimisation (Category Optimisation & Allocation) is responsible for leveraging data analytics and automation to enhance inventory efficiency, improve forecasting accuracy, and support business decision-making. The role involves developing analytical tools, dashboards, and data models to drive optimized inventory planning and category performance.

Key Responsibilities:

Data Architecture & Design

  • Conceptualize and design data warehouse and data mart solutions to support business analytics and reporting needs.

Automation & Process Optimization

  • Automate recurring reports, data extraction, and analytical processes using Python or relevant tools to improve accuracy, efficiency, and scalability.

Dashboard Development & Visualization

  • Develop, maintain, and optimize interactive dashboards for stakeholders, translating complex datasets into meaningful and actionable insights.

Advanced Analytics & Modelling

  • Apply statistical modeling, predictive analytics, and optimization techniques to support category performance, inventory allocation, and replenishment strategies.

Cross-functional Collaboration

  • Partner with category, supply chain, and merchandising teams to understand business challenges and translate them into data-driven solutions.

Continuous Improvement

  • Identify opportunities to enhance data quality, improve reporting efficiency, and strengthen overall analytical capabilities.

Ad-hoc Projects & Support

  • Undertake other related assignments or analysis as required from time to time.

Requirements:

  • Bachelor's Degree or above from an MQA-recognized university and course.
  • Preferred fields of study: Statistics, Economics, Mathematics, Business Analytics, or Data Analytics.
  • Proficiency in
    Python
    and
    SQL
    .
  • Strong analytical thinking with the ability to manage and interpret large datasets.
  • Experience in data visualization tools (e.g., Power BI, Tableau) is an added advantage.
  • Fresh graduates are encouraged to apply.


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