Description:
We are advancing our global supply chain with AI-enabled analytics and systems to anticipate risk, evaluate tradeoffs, and drive faster, smarter decisions across our growing, global business. We are seeking a Senior Analyst, Global Supply Chain Planning to develop models and decision tools that improve supply chain performance across our global network.
This is an opportunity to work on high-impact initiatives with executive visibility and shape the next generation of our supply chain capabilities in a fast-moving and entrepreneurial business.
This is not a traditional reporting role or a pure data science role; it is a hands-on builder role for someone who can connect supply chain planning, systems, data, analytics, and automated workflows to improve business decisions at scale.
What you’ll do
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Own the design and improvement of analytical tools, planning workflows, dashboards, and system-enabled processes that support demand, supply, inventory, and operations decisions
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Build predictive, prescriptive, and optimization models for forecasting, inventory risk, supply constraints, service performance, and exception detection using AI, automation, and self-service solutions to drive decision quality and speed
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Perform exploratory analysis, root-cause analysis, data validation, feature development, and performance measurement to support business solutions
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Develop scenario and simulation models to quantify tradeoffs across service, cost, inventory, and risk
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Translate supply chain and business problems into scalable analytical solutions embedded in processes and systems
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Partner with IT, planning, operations, and finance teams to improve data flows, reporting structures, planning system outputs, and analytical tools used throughout our planning processes
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Clearly communicate findings to technical and non-technical stakeholders through visualizations, recommendations, and business insights
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Improve data quality, metric consistency, and analytical rigor across the planning organization
Requirements:
Qualifications
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Bachelor’s or Master’s degree in engineering, operations research, data science, supply chain, analytics, or a related quantitative field
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4+ years of experience in data analytics, systems, operations research, industrial engineering, or a related quantitative role
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Experience with SQL, BI/visualization tools such as Power BI or Tableau, and advanced Excel; Python, R, or similar analytical programming experience preferred
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Strong problem-solving skills and the ability to turn ambiguous business questions into practical solutions
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Experience working with large, complex datasets and building clear analytical recommendations and outputs
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Skill and interest in AI-enabled workflows and production deployments
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Strong communication skills, including the ability to explain technical concepts and model outputs to business and executive stakeholders
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Working in a fast-paced, evolving environment with a high degree of ownership and a builder mindset
Preferred qualifications
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Experience in supply chain, operations, logistics, retail, CPG, and automotive
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Experience with statistical analysis, optimization, anomaly detection, predictive modeling, scenario modeling, or machine learning
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Experience supporting global or multi-region business operations
Culture & values
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Bias for Action: We favor delivering usable insights quickly over endless analysis.
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Show You Care: We operate with empathy, integrity, and a collaborative spirit.
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Action vs. Activity: Results — not busyness — drive recognition and advancement.
Why join us
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Executive Visibility: Work directly with executive leaders on strategic, high-impact initiatives.
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Global Impact: Help shape a supply chain that powers distribution across 100+ countries.
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Stable + Growth: Join a company with a 50-year heritage and the momentum of a business expanding at startup speed through acquisitions
