Senior Analyst, Business Data (Supply Operations)

Job Purpose

Key Accountabilities

Monitor And Analyse Gains And Losses

• Track operational and in-transit fuel discrepancies across the supply chain, including terminal storage
• and inbound stock.
• Identify trends or anomalies impacting operational efficiency and HSSE compliance and report findings
• to relevant stakeholders for corrective action.
• Analyse data patterns from the automated transfer of dip data from TGS to SAP across all terminals.
• Review gain/loss percentage variances through the Inventory Recon Dashboard for all sites.
• Provide analytical support during tolerance limit evaluations and exception handling.
• Analyse exception patterns caused by delayed refinery reports and their impact on reconciliation
• accuracy.
• Serve as analytical verification gatekeeper by reviewing gain/loss data and providing feedback to
• operators/supervisors before they approve final posting.
• Run various reports form SAP, PLC, BI and other Dashboards on daily basis.
• Ensure key personnel at the terminals in the supply chain are well trained and engaged to ensure all
• processes are followed in full compliance.

End-To-End Hydrocarbon Cycle Management

• Oversee and analyse the hydrocarbon cycle, from procurement to terminal operations, ensuring
• efficiency and compliance at every stage.
• Identify bottlenecks or inefficiencies in the hydrocarbon flow and collaborate with stakeholders to
• implement improvements.
• Support the integration between operational activities and inventory reconciliation processes.

Inbound And Outbound Operations Oversight

• Analyze inbound and outbound fuel movements, coordinating with terminals to identify incorrect or
• missed out transactions for intime posting.
• Support process optimization for smoother flows across depots.
• Analyse impacts on inventory discrepancies and reconciliation processes.

Inventory And Reconciliation Insights

• Collaborate with Terminal teams to monitor inventory levels, reconciliation processes, and stock
• movements at terminals to ensure Loss & Gains are minimised for all grades and provide
• recommendations for improvement.
• Analyze month-end data patterns, providing trend analysis, reporting, and insights on discrepancies to
• support accurate records.
• Analyze data from the "Inventory Recon" custom application and identify patterns and insights.
• Track the approval workflow for outside-tolerance variances and analyze approval timelines to identify
• bottlenecks.
• Develop analytical reports to help inform reconciliation decisions.
• Evaluate the impact of delayed refinery reporting on reconciliation processes and develop analytical
• models to account for these timing discrepancies.
• Analyze data patterns within the "Inventory Recon" application.
• Identify potential improvement areas based on data analysis.
• Support troubleshooting together with Terminals and Finance (Inventory) teams by providing detailed
• data insights.
• Share periodic MI reports with SOD management and Departments, as needed time to time.
• Support Finance in monthly inventory closing activities on behalf of the Supply Operations Division.

Data-Driven Decision Making

• Use SAP reporting and master data management tools to generate insights for informed decisionmaking.
• Regularly update stakeholders with actionable reports on relevant performance metrics.
• Develop comprehensive dashboards for variance trends and reconciliation performance.
• Conduct comparative analysis of reconciliation performance across terminals.
• Prepare analytical reports to support process improvement initiatives.
• Analyze patterns in variance posting activities.
• Analyze rejection patterns and recommend process opportunities.
• Develop data-driven insights for approval documentation.

Operator Support

• Analyze data and provide verification feedback to operators/supervisors prior to daily loss/ gain
• approval decisions.
• Provide analytical support to operators during manual dip creation when needed.
• Help supply team interpret data from the Inventory Recon Dashboard.
• Support the review of gain/loss percentage variances.
• Provide insights to inform Operations decision-making for within-tolerance vs. outside-tolerance
• categorization.

Minimum Requirements

• Bachelor’s degree in business administration, Science, Data Science, Supply Chian, Information
• Technology, or a related field.
• At least 6 years of experience in inventory management, logistics, preferably in the Oil & Gas industry.
• KPI Development and Monitoring: Expertise in developing and tracking key performance indicators.
• Dashboard Creation: Proficiency in creating and maintaining interactive dashboards for performance
• tracking.
• Competitive Analysis: Ability to conduct thorough competitive analysis and provide actionable insights.
• Reporting: Skilled in developing detailed reports with clear, actionable insights.
• Communication and Collaboration: Excellent communication skills and the ability to work effectively with
• cross-functional teams.
• Strategic Thinking: Strong strategic thinking skills to develop and implement data-driven strategies.
• Attention to Detail: High attention to detail to ensure data accuracy and reliability.
• Problem-Solving: Strong problem-solving skills to identify and address data-related issues.
• Experience of working at Terminals will be added advantage