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Coupang Internal

Sr. Process Innovation Specialist

Taipei, Taiwan · On-site · RFC Fulfillment

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About the role

Supply ChainPythonRSQLData AnalysisExcel
Job Summary Drive data-driven process innovation across fulfillment and warehouse operations by applying analytical thinking, structured problem-solving, and continuous improvement methodologies. Partner with cross-functional teams to identify opportunities, influence decisions, and deliver scalable solutions that improve productivity, quality, and operational efficiency. Key Responsibilities - Analyze operational data to identify process bottlenecks, inefficiencies, and improvement opportunities across warehouse operations. - Apply structured problem-solving and root cause analysis to design and implement sustainable process improvements. - Collaborate with Operations, Product, Engineering, and other stakeholders to align priorities and drive optimization initiatives. - Develop KPIs, dashboards, and reports to support data-driven decision-making and effectively communicate performance insights. - Lead cross-functional projects and pilot programs from concept through implementation, ensuring measurable business impact. Basic Qualifications - Bachelor's degree in Industrial Engineering, Engineering, or a related field. - 3+ years of experience in process improvement, operations excellence, supply chain, logistics, or fulfillment center operations. - Strong analytical and logical reasoning skills with the ability to solve complex operational problems using data. - Strong understanding of KPI development, root cause analysis, process mapping, and workflow optimization. - Proven ability to collaborate with cross-functional stakeholders, influence decisions, and drive execution in a fast-paced environment. - Strong verbal and written communication skills in English. Preferred Qualifications - Experience performing large-scale data analysis using SQL, Excel, Python, R, or similar analytical tools. - Experience with simulation, optimization modeling, or operations research techniques. - Familiarity with warehouse management systems (WMS), automation technologies, and operational analytics platforms. - Experience leading cross-functional projects from concept through implementation. - Demonstrated ability to translate complex data into actionable business insights.