Data Analyst - Retail Insights & Dashboards (On-site)

MR.DIY; Seri Kembangan; On-site; MYR 52,000 - 78,000; Full time

Job summary

MR D.I.Y. is seeking a detail-oriented Data Analyst to join our Seri Kembangan team on-site.

You will perform data analytics, modeling, and statistics to support retail business decisions, analyze large datasets, generate insights, and present actionable recommendations to stakeholders. The role requires strong Excel and statistical skills, proficiency in SQL, and the ability to work independently and with cross-functional teams.

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.
• Mandarin proficiency is required to support business communication needs.

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

Education

Bachelor's degree in Data Science/Statistics/CS

Job description

MR D.I.Y. is seeking a detail-oriented Data Analyst to join our Seri Kembangan team on-site.

You will perform data analytics, modeling, and statistics to support retail business decisions, analyze large datasets, generate insights, and present actionable recommendations to stakeholders. The role requires strong Excel and statistical skills, proficiency in SQL, and the ability to work independently and with cross-functional teams.