Senior Analyst Business Data Supply Operations

Job Purpose

The Senior Analyst, Business Data (Supply Operations) focuses on optimizing the fuel supply chain by analyzing

operational data to manage stock levels and minimize stock loss. This role ensures seamless coordination

across terminals supply and logistics and Marine teams, verifies critical data, and serves as an analytical

checkpoint in the Daily inventory reconciliation process for all Supply Operations Plants. The emphasis is on

leveraging data-driven insights to enhance operational efficiency, monitor and reconcile inventory, validate data

before posting for Supply Operations Plants and ensure compliance with Health, Safety, Security, and

Environment standards.

Key Accountabilities

Below mentioned accountabilities are key for the role, however based on Operations and analytic needs and

any future changes in the process, additional accountabilities may be added/ amended in the JD as per

management directives.

Monitor and Analyse Gains/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

---