Cordis Corporation

Supply Chain Analyst II (Mexico)

Ubicaciones de empleo MX-Juarez
ID 2025-3473
Categoría
Supply Chain
Tipo
Regular Full-Time

Las Visión de Conjunto

The Supply Chain Analyst will play a critical role in leveraging data analytics to optimize international supply chain operations and drive data-based decision-making. This position will focus on analyzing complex datasets, identifying trends, and providing insights that drive operational efficiency and strategic initiatives. A key aspect of this role will involve utilizing advanced analytics tools to enhance supply chain performance, implement data-driven methodologies, and support configuration management to ensure system accuracy and efficiency.

 

Responsabilidades

  • Utilize data analytics to evaluate supply chain performance and identify areas for improvement.
  • Develop predictive models and dashboards to support supply chain decision-making.
  • Analyze large datasets to uncover inefficiencies and recommend process optimizations.
  • Collaborate with cross-functional teams to enhance supply chain visibility through data-driven insights.
  • Support system configuration and data integration across supply chain platforms.
  • Ensure seamless data exchange between enterprise resource planning (ERP) systems across an International Supply Chain
  • Monitor key performance indicators (KPIs) and generate actionable reports to drive continuous improvement.
  • Train and support teams in using data analytics tools and configuration management systems effectively.

Calificaciones

  • Bachelor's degree in Supply Chain Management, Business Analytics, Information Systems, or a related field
  •  3+ years of experience in supply chain analytics, configuration management, or related roles.
  • Problem-solving and critical-thinking skills with a focus on data-driven decision-making.
  • Strong communication and collaboration skills.
  • Mastery of data analysis tools, ERP systems, and supply chain management software (e.g., Power BI, Tableau, Python, SQL).
  • Strong understanding of data visualization, statistical analysis, and predictive modeling.

Opciones

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