Data Analytics Lead, Assistant Manager — Insights & Reports

MR DIY International; Selangor; On-site; MYR 70,000 - 100,000; Full time

Job summary

MR DIY International in Malaysia is seeking a detail-oriented Data Analyst to join our team. The role focuses on data analytics, modeling, and statistics to support retail decisions, with responsibilities across large datasets, insights, and presenting actionable recommendations to stakeholders.

You will develop reporting tools and dashboards, ensure data accuracy, and collaborate with data engineers to optimize pipelines.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, 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 (speaking, reading, and writing).
• 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 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

Statistical analysis

Mandarin language

Education

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

Tools

Excel

Job description

MR DIY International in Malaysia is seeking a detail-oriented Data Analyst to join our team. The role focuses on data analytics, modeling, and statistics to support retail decisions, with responsibilities across large datasets, insights, and presenting actionable recommendations to stakeholders.

You will develop reporting tools and dashboards, ensure data accuracy, and collaborate with data engineers to optimize pipelines.