• 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.

• Monitor refinery operations, maintenance schedules, turnarounds, outages, and restart activities across regional and global markets.
• Track changes in refinery utilization, unit disruptions, operational performance, and infrastructure developments.
• Maintain and update infrastructure and operational databases using multiple sources of market intelligence.
• Analyze refinery margins, operational trends, and market developments to identify potential impacts on supply and demand dynamics.
• Assess the commercial implications of refinery outages, maintenance activities, and operational changes.
• Collaborate with commercial, operational, and analytical teams to validate information and provide actionable insights.
• Develop reports, dashboards, and market intelligence updates for stakeholders.
• Utilize coding and data analysis skills to automate workflows, improve data quality, and enhance reporting efficiency.
• Analyze large datasets to identify trends, anomalies, and opportunities for process improvements.

Requirements

• Bachelor’s Degree in Engineering, Energy, Maritime Studies, Data Analytics, Economics, Business, or a related discipline.
• Experience within the energy, refining, petrochemical, commodity trading, maritime, or related industries.
• Proficiency in Microsoft Excel and data analysis.
• Working knowledge of Python programming.
• Strong analytical, quantitative, and problem-solving skills.
• Ability to work with large datasets and derive meaningful business insights.
• Effective communication and stakeholder management skills.

• Monitor refinery operations, maintenance schedules, turnarounds, outages, and restart activities across regional and global markets.
• Track changes in refinery utilization, unit disruptions, operational performance, and infrastructure developments.
• Maintain and update infrastructure and operational databases using multiple sources of market intelligence.
• Analyze refinery margins, operational trends, and market developments to identify potential impacts on supply and demand dynamics.
• Assess the commercial implications of refinery outages, maintenance activities, and operational changes.
• Collaborate with commercial, operational, and analytical teams to validate information and provide actionable insights.
• Develop reports, dashboards, and market intelligence updates for stakeholders.
• Utilize coding and data analysis skills to automate workflows, improve data quality, and enhance reporting efficiency.
• Analyze large datasets to identify trends, anomalies, and opportunities for process improvements.

Requirements

• Bachelor’s Degree in Engineering, Energy, Maritime Studies, Data Analytics, Economics, Business, or a related discipline.
• Experience within the energy, refining, petrochemical, commodity trading, maritime, or related industries.
• Proficiency in Microsoft Excel and data analysis.
• Working knowledge of Python programming.
• Strong analytical, quantitative, and problem-solving skills.
• Ability to work with large datasets and derive meaningful business insights.
• Effective communication and stakeholder management skills.

• Monitor refinery operations, maintenance schedules, turnarounds, outages, and restart activities across regional and global markets.
• Track changes in refinery utilization, unit disruptions, operational performance, and infrastructure developments.
• Maintain and update infrastructure and operational databases using multiple sources of market intelligence.
• Analyze refinery margins, operational trends, and market developments to identify potential impacts on supply and demand dynamics.
• Assess the commercial implications of refinery outages, maintenance activities, and operational changes.
• Collaborate with commercial, operational, and analytical teams to validate information and provide actionable insights.
• Develop reports, dashboards, and market intelligence updates for stakeholders.
• Utilize coding and data analysis skills to automate workflows, improve data quality, and enhance reporting efficiency.
• Analyze large datasets to identify trends, anomalies, and opportunities for process improvements.

Requirements

• Bachelor’s Degree in Engineering, Energy, Maritime Studies, Data Analytics, Economics, Business, or a related discipline.
• Experience within the energy, refining, petrochemical, commodity trading, maritime, or related industries.
• Proficiency in Microsoft Excel and data analysis.
• Working knowledge of Python programming.
• Strong analytical, quantitative, and problem-solving skills.
• Ability to work with large datasets and derive meaningful business insights.
• Effective communication and stakeholder management skills.

• Monitor refinery operations, maintenance schedules, turnarounds, outages, and restart activities across regional and global markets.
• Track changes in refinery utilization, unit disruptions, operational performance, and infrastructure developments.
• Maintain and update infrastructure and operational databases using multiple sources of market intelligence.
• Analyze refinery margins, operational trends, and market developments to identify potential impacts on supply and demand dynamics.
• Assess the commercial implications of refinery outages, maintenance activities, and operational changes.
• Collaborate with commercial, operational, and analytical teams to validate information and provide actionable insights.
• Develop reports, dashboards, and market intelligence updates for stakeholders.
• Utilize coding and data analysis skills to automate workflows, improve data quality, and enhance reporting efficiency.
• Analyze large datasets to identify trends, anomalies, and opportunities for process improvements.

Requirements

• Bachelor’s Degree in Engineering, Energy, Maritime Studies, Data Analytics, Economics, Business, or a related discipline.
• Experience within the energy, refining, petrochemical, commodity trading, maritime, or related industries.
• Proficiency in Microsoft Excel and data analysis.
• Working knowledge of Python programming.
• Strong analytical, quantitative, and problem-solving skills.
• Ability to work with large datasets and derive meaningful business insights.
• Effective communication and stakeholder management skills.

• Monitor and analyze vessel movements, cargo flows, and shipping activities using AIS, satellite data, and market intelligence sources.
• Track cargo origins, destinations, volumes, and estimated arrival timings to provide actionable market insights.
• Identify unusual vessel behavior, route deviations, delays, diversions, congestion, and other events that may impact trade flows.
• Collaborate with commercial, operations, and analytical teams to validate information and support decision-making.
• Develop and maintain vessel tracking reports, dashboards, and market intelligence updates.
• Analyze large datasets to identify trends, improve data quality, and enhance visibility of commodity flows.
• Support the automation and digitalization of ship-tracking processes through coding and process improvements.
• Assist in developing tools and workflows to improve operational efficiency and reporting capabilities.

Requirements

• Bachelor’s Degree in Maritime Studies, Business, Supply Chain, Data Analytics, Engineering, or a related discipline.
• Experience within the maritime, shipping, commodity trading, logistics, or energy sectors.
• Proficiency in Microsoft Excel and data analysis.
• Working knowledge of Python programming.
• Strong analytical and problem-solving skills.
• Ability to manage large datasets and derive meaningful insights.
• Effective communication and stakeholder management skills