Merchandise Data Analyst

1 month ago

West Covina, United States MINISO USA Full time

At Miniso, we're excited to announce openings for two pivotal roles within our procurement team: Position 1: Merchandise Data Analyst, Position 2: Merchandise Planner, and Postion 3: Inventory Coordinator. While 3 positions play critical roles in our purchasing operations, they offer distinct responsibilities and growth opportunities. Here's what you need to know about each role:


Position 1: Merchandise Data Analyst

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.


Position 2: Merchandise Planner

Responsibilities include, but are not limited to:

  • Product Planning: Work closely with buyers to develop product plans based on category performance targets and sales forecasting.
  • Report Generation: Regularly produce merchandise reports on a daily, weekly, and monthly basis, ensuring a well-rounded perspective by merging insights on sales patterns, procurement initiatives, inventory trends, Gross Profit Trends, and consumer behaviour.
  • Inventory Oversight: Execute stringent protocols to detect and rectify inventory anomalies. Tracking of product lifecycle to optimize inventory.
  • 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 product plans and store operations.
  • Performance Metrics Adherence: Drive continuous improvement by focusing on pivotal Merchandise KPIs, emphasizing metrics like turnover, SKU diversity, and PM results.
  • Other Duties: Engage in any other pertinent tasks and projects as needed.


Qualifications:


  • Bachelor’s degree in data science, Business Analytics, Statistics, computer, mathematics 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.
  • Innate adaptability and resilience, especially when navigating high-pressure, dynamic scenarios.
  • A rigorous attention to detail, paired with strategic foresight.

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