Data Analyst: Forecasting, Optimization & Insights

MR DIY Malaysia; Seri Kembangan; On-site; MYR 90,000 - 150,000; Full time

Job summary

MR D.I.Y. is seeking a data science professional to build and maintain forecasting models to support business planning and decision-making.

The role includes evaluating model accuracy, developing what-if simulations to test pricing, display, and stock changes, and designing inventory allocation across stores. You will create dashboards and collaborate with data stakeholders to translate requirements into analytic solutions.

Qualifications

• 3–5 years of relevant experience in data analytics or data science.
• Bachelor’s degree in CS/DS/IT or equivalent.
• Strong Python (pandas, sklearn) and SQL proficiency.
• Experience in time series forecasting and predictive modeling.
• Analytical, data-driven mindset with problem-solving skills.
• Understanding of ML concepts; PM and stakeholder mgmt experience are a plus.

Responsibilities

• Predict and forecast models to support business planning and decision-making.
• Evaluate model accuracy using appropriate metrics and continuously improve model performance.
• Develop simulation models to evaluate business scenarios; assess impact of pricing, display, and stock changes.
• Design optimization models for inventory allocation across stores; balance stock availability, demand, and capacity.
• Create and maintain analytics and dashboards to drive business decisions.
• Work with data stakeholders to ensure reliable data pipelines and translate business requirements into analytics.

Skills

Python

SQL

Time series forecasting

Predictive modeling

Analytical thinking

Machine Learning concepts

Project management

Stakeholder management

Creative problem-solving

Education

Bachelor’s degree in Computer Science / Data Science / Information Technology

Tools

Pandas

scikit-learn

Job description

MR D.I.Y. is seeking a data science professional to build and maintain forecasting models to support business planning and decision-making.

The role includes evaluating model accuracy, developing what-if simulations to test pricing, display, and stock changes, and designing inventory allocation across stores. You will create dashboards and collaborate with data stakeholders to translate requirements into analytic solutions.