Infrastructure Analyst (Singapore) (S20260)
- Full time
- Singapore, Singapore View on Map
- posted 1 day ago
- Posted: July 3, 2026 -Accepting applications
Job Detail
Job Description
Job Description
- Monitor planned and unplanned refinery and petrochemical plant turnarounds, maintenance activities, outages, and restarts, primarily across Asia and key global markets.
- Maintain accurate and up-to-date infrastructure data by tracking refinery operating status, unit disruptions, maintenance schedules, run cuts, and returns to service.
- Collect, validate, and reconcile information from multiple internal and external sources to ensure data accuracy, consistency, and commercial relevance.
- Collaborate with traders, analysts, and other stakeholders to verify infrastructure updates and assess their impact on market conditions and refining economics.
- Analyze refinery and secondary unit margins, linking operational changes to utilization, production yields, and market trends.
- Evaluate potential yield and operational changes resulting from maintenance events, feedstock constraints, or margin fluctuations.
- Develop and enhance automated workflows for infrastructure tracking, data processing, and reporting using Python and other data analysis tools.
- Analyze large datasets to identify operational trends, exceptions, and market developments, providing actionable insights to commercial teams.
- Prepare regular reports, perform ad hoc analyses, and support cross-functional projects related to refinery operations, infrastructure monitoring, and market analysis.
Requirements
- Bachelor’s degree or higher.
- At least 1 year of experience in the commercial, marine, or energy industry.
- Intermediate or advanced proficiency in Microsoft Excel.
- Intermediate-level Python programming skills.
- Knowledge of refinery operations, petrochemical processes, market analysis, or commercial activities is an advantage.
- Strong analytical and problem-solving skills with the ability to interpret large datasets.
- Experience working with cross-functional stakeholders and supporting collaborative decision-making.
- Demonstrated attention to detail, data accuracy, and process improvement.
- Willingness to learn, adapt, and continuously develop technical and industry knowledge.
