Senior Data Analyst

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

Responsibilities

• Build and maintain forecasting models to support business planning and decision-making
• 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)
• 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