- Petaling Petaling Selangor Malaysia
工作地点
职位描述
岗位职责
About the Role
We are seeking a motivated and detail-oriented Data Analyst to join our Retail Operations team. This role is ideal for fresh graduates who are passionate about data, problem-solving, and improving business performance through analytics. You will work closely with retail, operations, and management teams to analyze data, identify trends, and support decision-making across our retail network.
Key ResponsibilitiesCollect, clean, validate, and analyze retail operations data from multiple sources.
Develop and maintain regular reports and dashboards on sales, inventory, staffing, customer traffic, and operational performance.
Monitor key performance indicators (KPIs) and highlight trends, risks, and opportunities.
Support store performance analysis and provide actionable recommendations.
Assist in forecasting sales, inventory requirements, and operational metrics.
Identify process improvement opportunities through data-driven insights.
Prepare presentations and reports for management review.
Collaborate with cross-functional teams including Operations, Merchandising, Marketing, Finance, and IT.
Ensure data accuracy and consistency in reporting systems.
Support ad-hoc analytical projects and business requests.
Bachelor's degree in Data Analytics, Statistics, Mathematics, Economics, Business Analytics, Computer Science, Information Systems, or a related field.
Fresh graduates are encouraged to apply.
Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, basic formulas).
Basic knowledge of SQL for data extraction and analysis.
Familiarity with data visualization tools such as Power BI, Tableau, or Looker Studio.
Basic understanding of statistics and data analysis concepts.
Exposure to Python or R is an advantage but not required.
Strong analytical and problem-solving skills.
Attention to detail and accuracy.
Good communication and presentation skills.
Ability to manage multiple tasks and meet deadlines.
Curious mindset with a willingness to learn.
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