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

Company Description:

MR D.I.Y. is a home-grown home improvement retailer with over 1,500 stores across Malaysia and Brunei, offering customers convenient access to products both in-store and online at ************* All outlets are directly managed, often in collaboration with shopfront and mall owners, ensuring consistent standards and service. The stores carry a wide range of SKUs across hardware, household and furnishing, electrical, stationery and sports equipment, and other categories such as toys, car accessories, jewellery, cosmetics, food and beverage, and health and personal care. The company focuses on delivering good quality and value-for-money products, guided by its motto of “Always Low Prices.” MR D.I.Y. continually innovates and adapts its business to meet diverse customer needs.

Job Summary:

We are seeking a detail-oriented and reliable Data Analyst to join our team based in Seri Kembangan (on-site). The Data Analyst will be responsible for data analytics, data modeling, and statistics to support business decisions in the retail industry. The role involves analyzing large data sets, generating insights and identifying trends, as well as communicating findings to stakeholders and presenting actionable recommendations that support organizational goals. The Data Analyst will also ensure data accuracy and integrity, and develop reporting tools and dashboards to enhance data-driven decision-making.

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.

Requirements:

• 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.
• Ability to work independently and collaboratively in a team.