Operations Data Analyst for NSO & Roboshop Projects

POP MART; Los Angeles (CA); On-site; USD 86,000 - 100,000; Full time

Job summary

POP MART Americas Inc., in Los Angeles, CA, seeks an Operations Specialist to analyze operational and market data, support store openings and ROBOSHOP projects, maintain dashboards, and provide data-driven insights to improve business operations.

Responsibilities include quantitative analysis, data modeling, forecasting, and developing visualizations with Excel, SQL, and Tableau to support decisions and optimize performance across the U.S. market.

Qualifications

• Master’s degree or foreign equivalent in Statistics, Data Analytics, Mathematics, Management, Business Administration, or a related field.
• Demonstrated experience in quantitative analysis, data modeling and forecasting.
• Experience with data visualization using Excel, SQL and Tableau; strong operational reporting and decision-support skills.

Responsibilities

• Apply quantitative analysis and operations research methods to support business decisions.
• Analyze New Store Opening project data, including timelines, KPIs, and performance metrics, to optimize execution.
• Maintain and enhance operational data systems and develop dashboards for reporting and insights.
• Evaluate daily store operations, identify inefficiencies, and recommend data-driven improvements.
• Support SOP development and optimize processes through workflow analysis.
• Assist in the rollout of ROBOSHOP projects in the U.S. market by analyzing logistics and operational performance data.

Skills

Quantitative analysis

Data modeling

Forecasting

Excel

SQL

Tableau

Operational reporting

Data-driven decision making

Education

Master’s degree or foreign equivalent in Statistics, Data Analytics, Mathematics, Management, Business Administration, or a related field

Job description

POP MART Americas Inc., in Los Angeles, CA, seeks an Operations Specialist to analyze operational and market data, support store openings and ROBOSHOP projects, maintain dashboards, and provide data-driven insights to improve business operations.

Responsibilities include quantitative analysis, data modeling, forecasting, and developing visualizations with Excel, SQL, and Tableau to support decisions and optimize performance across the U.S. market.