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Sales & Operations Planning Intern at Celanese

Irving, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sales And Operations Planning, Production Scheduling, Network Optimization, Data Retrieval, Data Scrubbing, Analysis, Visualization, Recommendations, Procedure Optimization, Process Standardization, Continuous Improvements, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Power BI, Attention To Detail

Industry

Chemical Manufacturing

Description

Overview This position will be located at our global corporate headquarters in Dallas, Texas and will work on projects related to the following areas: Sales and operations planning (S&OP), production scheduling and network optimization. Responsibilities Apply collegiate curriculum and current knowledge/practices to solve specific real-world problems Demonstrate range of capabilities with large data sets including data retrieval, data scrubbing, analysis, visualization and recommendations Demonstrate curiosity through insightful questions Translate technical concepts into business insight Collaborate across functions to understand diverse perspectives on problem solving Support procedure optimization, process standardization, and continuous improvements efforts Qualifications Pursuing a Bachelors degree in Supply Chain Management or Industrial Engineering Anticipated graduation date May 2027 or December 2026 GPA 3.0 or higher Microsoft suite proficiency: Word, PowerPoint, and Excel Preferable skills: Power BI Attention to detail Effective verbal and written communication skills Positive attitude and learning agility Proven success working in a team environment Ability to work in the U.S. with no restrictions (OPT H1b, TN visa currently not supported)

Responsibilities

This role involves applying academic knowledge to solve real-world problems in sales and operations planning, production scheduling, and network optimization. Responsibilities include handling large datasets through retrieval, scrubbing, analysis, visualization, and providing business insights.