全职 Data Analyst 工作, 薪水, MR DIY TRADING SDN BHD Federal Territory 公司招聘中 - Ricebowl

Company Description

MR D.I.Y. is a home-grown enterprise with over 1,500 stores across Malaysia and Brunei, offering a wide range of products at affordable prices based on the company motto, “Always Low Prices.” The retailer provides convenience by operating both physical stores nationwide and an online platform. MR D.I.Y. stores feature diverse product categories, including hardware, household and furnishing, electrical, and more. Committed to customer satisfaction, the company leverages innovation and flexibility to deliver good quality and value-for-money products. All stores are directly managed, often in collaboration with shopfront or mall property owners.

Role Description

This is a full-time on-site role for a Data Analyst located in Seri Kembangan. The Data Analyst will be responsible for analyzing large datasets to identify trends and insights, building and maintaining data models, and preparing detailed reports. Regular tasks will also include applying statistical methods and tools, assisting with business decision-making, and effectively communicating findings to stakeholders.

Key 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.

Technical Skills

• Proficiency in SQL for querying databases.
• Strong skills in data visualization tools.
• Advanced Excel and statistical analysis skills.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• Fresh graduates are welcome.
• Proficient in Analytical Skills, Data Analytics, and Data Modeling.
• Skilled in Statistics and utilizing statistical techniques for data interpretation.
• High-level proficiency in data analysis tools and software.
• Strong communication skills with the ability to present data-driven insights clearly and effectively.
• Fluency in Mandarin is required to support business communication needs.