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Location
In office
Seniority
Junior · 1+ year exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Jun 25, 2026. MR D.I.Y. scores C on the Alion truth index.

Overview
Company
Impact
Profile match
MR D.I.Y. first opened one store on Jalan Tuanku Abdul Rahman in July 2005 and has now grown to become the largest home improvement retailer in the region with stores across Malaysia. MR D.I.Y. offers a wide range of products for everyone's needs at lowest prices while MR D.I.Y.

Key Responsibilities:

  • What-if Simulation

    • Develop simulation models to evaluate business scenarios.

    • Assess 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 analytics that is impactful and able to drive business on various platform eg. dashboard.

  • Prediction and Forecast Models (Added Advantage)

    • Build and maintain forecasting models.

  • Model Evaluation (Added Advantage)

    • Evaluate model accuracy by using suitable metrics.

  • Data Analysis

    • Collects, cleans, and analyzes data to identify trends, patterns, and insights to improve procurement strategies.

  • Process Improvement (Added Advantage)

    • Identifies process gaps, proposing solutions and build the solution to improve work efficiency.

  • Any Other Tasks as Assigned

Requirements:

  • Bachelor’s Degree in Analytics, Data Science, Business, Economics, Engineering, Mathematics, or a related field.

  • 1-2 years of relevant experience in retail, supply chain, FMCG, procurement, analytics, or a related field is preferred.

  • Proficiency in Excel, SQL, BI tools, and Python (e.g. pandas, scikit-learn). Strong analytical, problem-solving, and structured-thinking skills.

  • Good communication skills with the ability to present data insights and recommendations to stakeholders.

  • Knowledge of forecasting, predictive modelling, or machine learning is an added advantage.

  • Able to think from a business perspective and translate business problems into data-driven solutions.

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