Senior Data Analyst: Forecasting, Optimization & Insights

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

Job summary

MR DIY Malaysia in Selangor seeks a data analytics professional to build forecasting models for business planning and decision-making across stores and platforms.

You will evaluate model accuracy, develop simulations, and optimize inventory allocation. The role requires 3–5 years of experience, a relevant degree, and strong Python/SQL skills to create impactful analytics and dashboards.

Qualifications

• Minimum 3–5 years of relevant experience in data analytics or data science.
• Bachelor's degree in Computer Science, Data Science, IT, or equivalent.
• Strong Python and SQL proficiency (pandas, sklearn).
• Hands-on experience in time series forecasting and predictive modeling.
• Analytical, data-driven mindset with strong problem-solving skills.
• Knowledge of ML concepts and techniques.
• Experience in project management is a plus.
• Strong stakeholder management and cross-functional collaboration skills.
• Demonstrated critical and creative thinking abilities.

Responsibilities

• Build and maintain forecasting models for business planning.
• Evaluate model accuracy and improve performance.
• Develop simulation models to evaluate scenarios (pricing, display, stock).
• Design optimization models for inventory allocation across stores.
• Create analytics and dashboards; translate business needs into solutions.
• Collaborate with IT and business stakeholders; ensure reliable data pipelines.
• Manage end-to-end project delivery where possible.

Skills

Python

SQL

Time series forecasting

Predictive modeling

Machine Learning concepts

Analytical thinking

Problem solving

Stakeholder management

Education

Bachelor's degree in Computer Science / Data Science / IT

Tools

Pandas

scikit-learn

Job description

MR DIY Malaysia in Selangor seeks a data analytics professional to build forecasting models for business planning and decision-making across stores and platforms.

You will evaluate model accuracy, develop simulations, and optimize inventory allocation. The role requires 3–5 years of experience, a relevant degree, and strong Python/SQL skills to create impactful analytics and dashboards.