Merchandise Data Analyst

JOB SUMMARY:

The Merchandise Data Analyst supports the merchandising and planning teams by providing data-driven insights that guide assortment decisions, inventory strategies, and financial planning. This role is responsible for collecting, analyzing, and interpreting large data sets to identify trends, measure performance, and support strategic business recommendations. The analyst will partner cross-functionally with Buying, Planning, Allocation, and HQ teams to deliver accurate reporting, automate workflows, and optimize decision-making across the merchandise lifecycle.

Responsibilities include, but are not limited to:

• Data Visualization and Analysis: Use Python and Power BI to develop robust data visualization platforms tailored for merchandise analysis. Streamline and enhance data systems and predictive indicators.
• Report Generation：Regularly produce merchandise reports on a daily, weekly, and monthly basis，ensure a well-rounded perspective by merging insights on sales patterns, procurement initiatives, inventory trends, Gross Profit Trend，and consumer behavior.
• Inventory Oversight: Execute stringent protocols to detect and rectify inventory anomalies.
• Cross-functional Collaboration: Maintain robust communication lines with departments like HQ, warehouse, operations, logistics, finance, and marketing.
• System Expertise: Develop in-depth expertise in primary enterprise systems, such as OA, SAP, and POS.
• Store Visits: Conduct regular store visits for on-ground assessments, ensuring alignment between data analysis insights and store operations.
• Performance Metrics Adherence: Drive continuous improvement by focusing on pivotal Merchandise KPIs, emphasizing metrics like turnover, SKU diversity, and PM results.
• Research & Development: Stay abreast of industry trends and emerging technologies. Evaluate potential tools and strategies to maintain the company's competitive edge.
• Project Management: Oversee diverse analytical projects from inception to completion, ensuring timely delivery and adherence to the highest quality standards.
• Other Duties: Engage in any other pertinent tasks and projects as needed.

Qualifications:

• Bachelor’s degree in data science, Business Analytics, Statistics, or a related field.
• Minimum of 2 years of hands-on experience in data analysis, preferably within a retail or e-commerce context.
• Mastery over data visualization tools, such as Power BI, Python, and Excel. Proficiency in the MS Office Suite is mandatory.
• Exceptional analytical thinking complemented by a results-driven approach.
• Superior communication skills, both written and verbal, with a knack for synthesizing complex data into digestible insights.
• Demonstrated ability to lead, inspire, and collaborate within cross-functional teams.
• Innate adaptability and resilience, especially when navigating high-pressure, dynamic scenarios.
• A rigorous attention to detail, paired with strategic foresight.