Manufacturing Performance & Digital Transformation Specialist

Indorama Ventures: Indovinya

Port Neches (TX)

Vor Ort

USD 95.000 - 135.000

Vollzeit

Vor 9 Tagen
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Eine vollständige Bewerbung in einer Minute — maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health insurance
WellHub / TotalPass
Life insurance
Exclusive benefits

Zusammenfassung

IndoramaVentures’ Indovinya division seeks a Manufacturing Performance Analyst to optimize manufacturing processes through data analysis and dashboard development. You will drive efficiency, cost and quality improvements, enabling data-driven decisions for stakeholders.

The role emphasizes collaboration with leadership and cross-functional teams to implement advanced process models and machine learning tools for performance gains.

Qualifikationen

  • Bachelor’s degree in a relevant engineering or STEM field.
  • 3 years of relevant operations experience in petrochemical or refining industries.
  • 5+ years in an analytical expert role preferred.
  • Experience with Python, Tableau, Azure SQL and Oracle DW with PL-SQL.

Aufgaben

  • Compute and monitor manufacturing performance metrics (cost, OEE, yields, energy).
  • Develop dashboards for data-driven decision making for stakeholders.
  • identify opportunities with digital tools to improve KPIs.
  • Support advanced process control KPIs and reporting.
  • Lead data collection and preprocessing from SAP/SQL sources.

Kenntnisse

Python
Tableau
Azure SQL
Oracle DW/PL-SQL
ETL
Digital twins
Machine Learning
SAP
Analytical thinking
Statistical analysis

Ausbildung

Bachelor's in Chemical/Electrical/Mechanical Engineering, Math or CS
Master's or PhD (a plus)

Tools

SAP
SQL
Tableau
Azure
Python

Jobbeschreibung

IndoramaVentures’ Indovinya division seeks a Manufacturing Performance Analyst to optimize manufacturing processes through data analysis and dashboard development. You will drive efficiency, cost and quality improvements, enabling data-driven decisions for stakeholders.

The role emphasizes collaboration with leadership and cross-functional teams to implement advanced process models and machine learning tools for performance gains.

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