Manufacturing Performance and Digital Transformation SME
About The Position
The Manufacturing Performance Analyst supports Indorama Ventures’ digital transformation by analyzing manufacturing data to optimize processes and drive efficiency, cost, and quality improvements. The role also develops dashboards to display performance metrics and support data-driven stakeholder decisions. It collaborates with manufacturing leadership and subject matter experts, leads implementation of automated metrics and data collection, and supports the implementation and sustainability of advanced process control applications, digital twins, machine learning, and other advanced mathematical tools. The position also supports safety and environmental goals, benchmarking, and company-wide digital transformation activities.
Requirements
- Bachelor’s degree in Chemical, Electrical, or Mechanical Engineering, Mathematics, or Computer Science.
- At least 3 years of operations-related experience in the petrochemical or refining industries.
- Current experience using Python, Tableau, Azure SQL, and Oracle DW with PL-SQL.
- Strong programming aptitude, including Python, and familiarity with Extract, Transform, and Load (ETL) processes.
- Strong technical capabilities in digital twins, machine learning, and Agentic AI.
- Proficiency with SAP, Internet, Email, and Microsoft Office programs.
Nice To Haves
- Master’s or Ph.D. in a relevant field.
- 5 or more years of experience in an analytical expert role.
- Six Sigma, Digital Ambassador, or other relevant certifications.
Responsibilities
- Support regional safety and environmental goals by participating in EH&S programs and initiatives and completing required training.
- Assist with developing, validating, and maintaining manufacturing performance metrics, including cost, OEE, yields, raw material efficiency, energy intensity, waste generation, inventory, and quality.
- Collaborate with leadership to identify improvement opportunities and appropriate digital tools.
- Support implementation and sustainability of advanced process control application KPIs and reporting.
- Support implementation and sustainability of Advanced Process Models (Digital Twins).
- Lead implementation and sustainability of machine learning or other advanced mathematical tools.
- Work with manufacturing leadership to define, analyze, and visualize manufacturing performance metrics.
- Lead standardization and develop automated metrics and reporting to enable performance improvement.
- Assist SMEs in using statistical and data analysis tools to identify value-generating opportunities.
- Lead implementation of automated data collection and collation from various sources into central systems.
- Navigate complex data sources such as SAP or SQL to extract information for analysis.
- Use programming tools to preprocess data for analysis and visualization.
- Assist with benchmarking studies of internal and external facilities.
- Support company-wide digital transformation activities and share best practices.
- Respond to urgent needs and work extra hours if needed.
- Collaborate with team members from diverse backgrounds.
- Assist other employees in achieving company goals and perform other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
