The Role
Conduct time studies, workflow analysis, process mapping, and data analysis to improve warehouse efficiency, labor utilization, safety, ergonomics, quality, and costs. Collaborate with operations teams on process changes and continuous improvement projects. Track product performance, conduct market and competitive research, develop recommendations, and communicate findings through reports and presentations.
Summary Generated by Built In
Job Responsibilities
Key Responsibilities:
Conduct time studies, workflow analysis, and process mapping to identify inefficiencies and bottlenecks in warehouse operations.
Use data analysis and statistical methods to develop solutions for improving process flow, labor utilization, and overall operational performance.
Assist in tracking and analyzing product performance metrics to drive decision-making and continuous improvement.
Collaborate with operational teams to implement and test process changes, ensuring seamless integration and minimal disruption to daily operations.
Drive projects focused on cost reduction, space optimization, labor productivity, and quality improvement within the warehouse environment.
Utilize engineering principles and tools to design and implement systems that enhance safety, ergonomics, and overall working conditions for warehouse associates.
Participate in market research and competitive analysis to identify opportunities for product improvement.
Generate reports, presentations, and documentation to communicate project findings, progress, and recommendations to stakeholders at various levels.
Participate in cross-functional initiatives and continuous improvement projects to support the overall growth and success of SHEIN’s operations.
Job Requirements
Master’s above degree in a relevant field such as Engineering, Business, Operational Research, or Computer Science.
5+ years of experience in robotic analysis operational research, or a related field
Strong analytical and problem-solving skills with a data-driven approach.
Understanding of agile methodologies and product development concepts.
Proficiency in data analysis tools such as Excel, SQL, and statistical software.
Excellent communication and collaboration skills to work effectively with diverse teams.
Ability to thrive in a fast-paced, dynamic environment with a focus on innovation and continuous improvement.
Familiarity with warehouse management systems (WMS) is a plus.
About UsSHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.
Key Responsibilities:
Conduct time studies, workflow analysis, and process mapping to identify inefficiencies and bottlenecks in warehouse operations.
Use data analysis and statistical methods to develop solutions for improving process flow, labor utilization, and overall operational performance.
Assist in tracking and analyzing product performance metrics to drive decision-making and continuous improvement.
Collaborate with operational teams to implement and test process changes, ensuring seamless integration and minimal disruption to daily operations.
Drive projects focused on cost reduction, space optimization, labor productivity, and quality improvement within the warehouse environment.
Utilize engineering principles and tools to design and implement systems that enhance safety, ergonomics, and overall working conditions for warehouse associates.
Participate in market research and competitive analysis to identify opportunities for product improvement.
Generate reports, presentations, and documentation to communicate project findings, progress, and recommendations to stakeholders at various levels.
Participate in cross-functional initiatives and continuous improvement projects to support the overall growth and success of SHEIN’s operations.
Job Requirements
Master’s above degree in a relevant field such as Engineering, Business, Operational Research, or Computer Science.
5+ years of experience in robotic analysis operational research, or a related field
Strong analytical and problem-solving skills with a data-driven approach.
Understanding of agile methodologies and product development concepts.
Proficiency in data analysis tools such as Excel, SQL, and statistical software.
Excellent communication and collaboration skills to work effectively with diverse teams.
Ability to thrive in a fast-paced, dynamic environment with a focus on innovation and continuous improvement.
Familiarity with warehouse management systems (WMS) is a plus.
About UsSHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.
Skills Required
- Master's degree or higher in Engineering, Business, Operations Research, Computer Science, or a related field
- 5+ years of experience in robotic analysis, operations research, or a related field
- Strong analytical and problem-solving skills with a data-driven approach
- Understanding of Agile methodologies and product development concepts
- Proficiency with Excel, SQL, and statistical software
- Excellent communication and collaboration skills
- Ability to work in a fast-paced, dynamic environment focused on innovation and continuous improvement
- Familiarity with warehouse management systems (WMS)
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The Company
What We Do
SHEIN is a global online fashion and lifestyle retailer focused on making fashion accessible to all. Its digitally enabled, customer-driven model offers women’s, men’s, children’s, home, and beauty products, including SHEIN-branded merchandise and goods from a global supplier network. The company also operates a marketplace for third-party merchants and brands, using on-demand production to provide broad choice, affordable prices, and less waste.







