Supply Chain Engineer: Data-Driven Forecasting & Optimization

Star Pipe Products; Houston (TX); Presencial; USD 85.000 - 115.000; Jornada completa

Descripción de la vacante

Star Pipe Products Ltd. is seeking a Supply Chain Engineer in Houston, TX to analyze and optimize company-wide supply chain processes, especially procurement, shipments, and manufacturing integration.

You will develop AS-IS and proposed process flows, identify cost-saving opportunities, and drive data-driven improvements across departments. The role involves building dashboards, coordinating with global teams, and applying machine learning to forecast demand and optimize inventory.

Formación

• Master's in Industrial Engineering required.
• 1 year of related experience in supply chain roles.
• Experience with manufacturing supply chain domain.
• Experience with Tableau.
• Strong data collection, preprocessing and data architecture knowledge.

Responsabilidades

• Analyze and improve supply chain processes and data flows across procurement, shipments, and manufacturing.
• Develop flow diagrams of AS-IS and proposed processes to identify improvements and cost savings.
• Coordinate with global teams to provide analytical support and resolve data/tool issues.
• Build and refine machine learning and mathematical models for demand forecasting and inventory planning.
• Integrate data from ERP systems and multiple sources to support advanced planning models.

Conocimientos

Supply chain domain

Data analysis

Industrial engineering

Machine learning

Educación

Master's degree in Industrial Engineering

Herramientas

Alteryx

Tableau

Fivetran

DBT

Snowflake

Descripción del empleo

Star Pipe Products Ltd. is seeking a Supply Chain Engineer in Houston, TX to analyze and optimize company-wide supply chain processes, especially procurement, shipments, and manufacturing integration.

You will develop AS-IS and proposed process flows, identify cost-saving opportunities, and drive data-driven improvements across departments. The role involves building dashboards, coordinating with global teams, and applying machine learning to forecast demand and optimize inventory.