Supply Chain Consultant / Analyst

New
Based in the United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years
Required Skills
PythonData AnalysisETL

Requirements

  • Bachelor’s degree in Supply Chain Management, Logistics, Industrial Engineering, Operations Research, or a related field.
  • 3+ years of experience in supply chain operations, consulting, or analytics roles.
  • Strong understanding of supply chain principles including demand planning, inventory optimization, logistics, and network design.
  • Hands-on experience with optimization modeling techniques such as linear programming and network optimization.
  • Familiarity with simulation tools and concepts (e.g., AnyLogic, FlexSim) and/or Python-based modeling environments.
  • Experience working with data pipelines, ETL tools (such as Alteryx), and data integration or API-based systems.
  • Strong analytical and problem-solving skills with the ability to handle ambiguous business challenges and deliver structured solutions.
  • Excellent communication skills, with the ability to present complex analyses and recommendations to technical and executive stakeholders.
  • Adaptability and willingness to learn new tools, methodologies, and evolving supply chain technologies.

Responsibilities

  • Analyze and structure complex supply chain data sets, including cleaning, transformation, and preparation for modeling and simulation work.
  • Translate business requirements and process flows into analytical models, ensuring alignment between current operations and future-state solutions.
  • Develop and execute simulation experiments and optimization models to evaluate scenarios and support client decision-making.
  • Conduct root cause and supply chain performance analysis to identify inefficiencies and recommend high-impact improvements.
  • Collaborate with clients and internal project teams to design workflows that bridge operational gaps and enable scalable solutions.
  • Support solution architecture development through data analysis, visualization, and documentation of findings and recommendations.
  • Identify opportunities for cost savings, process improvements, and supply chain optimization across diverse industry contexts.
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