- Responsible for daily forecasting and analyzing of retail operations.
- Generate operation analysis reports, provide conclusions and suggestions to various departments.
- Compiling data and applying generic statistical models to project trends into the future.
- Using data analytics to:
- Recognize products demands and determine purchase quantities and allocations.
- Establish the optimal price point for a specific product at any specific location.
- Collect and analyze market data to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.
- Studies financial records of retail chain to determine its financial health and predict its future sales and revenue performance.
- To examine quantitative and qualitative data from inventory and pricing and utilize data to develop recommendations on increasing sales targets and profits including market trends and current sales atmosphere.
- Build a data analysis model, provide data support for daily operation activities, and be able to provide strategies and suggestions for business development based on data analysis.
- Utilize data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.
- Develop and improve business strategies, summarize and analyze, continuously optimize, and ensure it brings actual value to business growth.
- Involve in inventories and purchasing analysis
- Data analyzation reports.
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