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