Business Analyst, Fuel Pricing | Contract

Location: Bugis

Working Hours: Monday to Friday, 9:00 AM – 6:00 PM

Contract Duration: Immediate start to 31 March 2027

About the Role

We are looking for a Business Analyst to support the Fuels Pricing organization during a transition period through 31 March 2027.

The role will provide a mix of business operations, pricing support, data analysis, reporting and digital/process improvement. Depending on business priorities and your experience, you may support pricing processes, country operations, reporting and analytics, data validation, process documentation and transition activities.

Key Responsibilities

• Provide business, operational, analytical and digital support to the Fuels Pricing organization during the transition period.
• Support pricing processes and country pricing teams, including pricing workflows, price setting/notification activities and day-to-day pricing operations.
• Perform reporting, data analysis, validation and reconciliation to support accurate pricing insights and management reporting.
• Maintain and enhance Power BI and Excel-based reporting solutions, including underlying data sources, automations and integrations.
• Support SAP and other system-related pricing activities, operational controls and issue follow-up.
• Prepare and maintain process documentation, work instructions and other operational materials.
• Support transition readiness and business continuity activities to ensure smooth handover and ongoing pricing operations.
• Identify opportunities to improve process efficiency, reporting reliability and operational controls.
• Work closely with regional and country stakeholders to resolve issues and support business-critical pricing activities.

Top 3 Must-Have Skills

• Strong analytical and problem-solving skills with the ability to understand business requirements and translate them into practical solutions.
• Experience in pricing, commercial operations, business analysis, reporting, data analytics or operational process support.
• Strong Excel and data analysis skills, with the ability to quickly learn new business systems, tools and pricing processes.
• Power BI, SQL, Python, Azure, Databricks
• Power Automate, PowerFX, DAX, Power Query or Excel Macros
• SAP or other pricing / commercial systems

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EA Reg. ID: R25157446 (Katherine Carlen)

PERSOL Singapore Pte Ltd

• RCB No. 200007268E
• EA License No: 01C4394