Data Analyst Executive (R&D - Analytic & Improvement)

Key Responsibilities:

• Analyse complex retail inventory, replenishment and allocation problems involving stores, SKUs, stock, sales, warehouse supply, lead time, festivals and other business conditions.
• Take ownership of analysis from problem understanding, data identification and validation through analysis, findings, recommendations and follow-up.
• Use SQL, Python/pandas, Excel and BI tools to process, analyse and visualise large datasets.
• Validate data and analytical result, cross-checking and reasonableness checks before using them for decisions.
• Prepare clear reports and presentations, adapting explanations for different levels of technical knowledge.
• Proactively identify issues, ask questions, challenge assumptions and bring ideas.
• Leverage AI, automation and other suitable tools to improve productivity while understanding and validating the underlying logic and results.

Requirements:

• Bachelor's Degree or above in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Engineering, Economics or related fields.
• Strong logical thinking, problem-solving ability and attention to detail.
• Good foundation in SQL, Python/pandas and advanced Excel; experience with Power BI, Looker Studio or similar tools is an advantage.
• Able to work with large datasets and understand data cleaning, transformation, validation and reconciliation.
• Able to determine an appropriate analytical approach while discussing key directions with the superior.
• Proactive and willing to ask questions, investigate unclear issues, challenge existing practices and contribute ideas.
• Able to explain analytical methodology, assumptions and findings clearly to both technical and non-technical audiences.
• Retail, inventory, replenishment or allocation knowledge is an advantage but not mandatory.
• Experience with databases, Parquet, automation, AI-assisted tools, simulation or machine learning is an advantage.
• Fresh graduates with strong analytical ability and relevant academic/internship projects are welcome.