Industrial Engineering Intern

Shein; Bellevue (WA); On-site; USD 90,000 - 120,000; Full time

Job summary

SHEIN is seeking a Senior Warehouse Process Analyst to optimize fulfillment operations in Bellevue through data-driven analysis and targeted improvements. The role focuses on mapping processes, identifying bottlenecks, and implementing changes to boost efficiency and safety.

You will work with cross-functional teams to deliver cost reductions, space optimization, and productivity gains in a fast-paced warehouse environment.

Qualifications

• Master’s degree in Engineering, Business, Operational Research, or Computer Science.
• 5+ years of experience in robotic analysis, operational research, or 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 with diverse teams.
• Familiarity with warehouse management systems (WMS) is a plus.

Responsibilities

• Conduct time studies, workflow analysis, and process mapping to identify inefficiencies.
• Develop data-driven solutions to improve process flow, labor utilization, and performance.
• Track and analyze product performance metrics to support decisions.
• Collaborate with operations to implement and test changes with minimal disruption.
• Drive projects on cost reduction, space optimization, and productivity in warehouse.
• Use engineering principles to design systems that improve safety and ergonomics.
• Participate in market research and competitive analysis for product improvements.
• Generate reports and communicate findings to stakeholders at various levels.
• Participate in cross-functional CI initiatives to support SHEIN's growth.

Skills

Analytical thinking

Problem solving

Agile methodologies

Product development concepts

Data-driven decision making

Communication

Team collaboration

Data analysis

Education

Master’s degree in Engineering or related field

Tools

Excel

SQL

Statistical software

Job description

Job 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.