Job Summary

The position supports the Group Analytics & Revenue Optimization (GARO) function in delivering commercial analytics, revenue optimization, performance reporting, data management and commercial systems activities across the Group. The position will work closely with the relevant Business Units to conduct analysis, develop reporting and analytical solutions, maintain commercial systems and data infrastructure, and support data-driven decision-making.

Key Responsibilities

• Conduct commercial, customer, vessel, market and competitor analysis to support business decision-making.
• Identify and analyse revenue optimization opportunities and monitor related initiatives and outcomes.
• Develop and maintain KPIs, dashboards, management reports and performance analysis.
• Conduct analysis, modelling and research to support budgeting, forecasting, planning, investment evaluation and business cases.
• Administer, maintain and improve the Group’s commercial systems, including CRM systems, data warehouse and analytical data infrastructure.
• Support data quality, cleansing, validation and governance, and resolve data and system issues.
• Develop and maintain automated reporting, analytical and data solutions to improve efficiency and decision support.
• Apply analytics, automation and AI, where appropriate, to enhance insights and business processes.
• Execute analytical workstreams and cross-functional projects with relevant functions and Business Units.
• Prepare clear analytical outputs, presentations and decision-support materials for Management and stakeholders.
• Contribute to the development and documentation of analytical processes, methodologies and standards.

Key Requirements

• Degree or Diploma in Business Analytics, Finance, Economics, Business, Engineering, Data Analytics, Statistics or a related discipline.
• Relevant experience in commercial analytics, business analysis, financial analysis, business intelligence, data analytics or related fields.
• Strong analytical, problem-solving and communication skills, with good commercial and financial acumen.
• Proficient in Excel and familiar with business intelligence and data analytics tools such as Power BI, Power Query, SQL or Python.
• Proficient in using AI tools, with strong prompting skills and an understanding of responsible, ethical and appropriate AI application in analytical and business contexts.
• Experience with CRM, data management or business systems would be an advantage.
• Strong attention to detail, data quality and ability to manage multiple priorities within deadlines.

Education