Data Analyst: Procurement Insights & Dashboards

MR DIY International; Selangor; On-site; MYR 67,000 - 134,000; Full time

Job summary

MR DIY International is seeking a detail-oriented Data Analyst for Procurement to join our Malaysia-based team. The successful candidate will perform data analytics, modeling, and statistics to support retail decisions and drive data-driven improvements.

You will develop dashboards and reports, define metrics with stakeholders, and translate findings into actionable recommendations while maintaining data accuracy and governance.

Qualifications

• Bachelor's degree in Data Science, Statistics, CS, or related field.
• Proficiency in SQL for querying databases.
• Strong skills in data visualization tools.
• Advanced Excel and statistical analysis skills.
• Fluency in Mandarin is required.
• Ability to work independently and collaboratively in a team.

Responsibilities

• Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
• Analyze complex datasets to identify trends, patterns, and insights.
• Develop and maintain dashboards, reports, and visualizations using tools such as Excel.
• Work closely with stakeholders to define metrics, KPIs, and data-driven business objectives.
• Translate analytical findings into clear, actionable recommendations for business units.
• Support data governance, quality assurance, and documentation efforts.
• Automate repetitive data processing and reporting tasks where possible.
• Collaborate with data engineers and IT teams to optimize data pipelines and storage solutions.

Skills

SQL

Data visualization

Excel

Statistics

Mandarin

Education

Bachelor's degree in Data Science/Statistics/CS

Job description

MR DIY International is seeking a detail-oriented Data Analyst for Procurement to join our Malaysia-based team. The successful candidate will perform data analytics, modeling, and statistics to support retail decisions and drive data-driven improvements.

You will develop dashboards and reports, define metrics with stakeholders, and translate findings into actionable recommendations while maintaining data accuracy and governance.