Revenue Analyst

Hello… an exciting new opportunity has become available in our Hollard Life Solutions Revenue Management division . We are looking to recruit a Revenue Analyst.

Job Purpose

• To support revenue management decision-making through accurate, insightful dashboards, reports and analytical solutions.
• The role is responsible for improving reporting efficiency through automation, ensuring data accuracy through effective reconciliation across platforms, and partnering with business stakeholders to translate requirements into practical, value-adding business intelligence solutions.

Why The Role Matters

• This role plays a critical part in helping the business understand and optimise its revenue performance.
• By transforming complex data into meaningful insights, the Revenue Analyst enables stakeholders to make data-driven decisions, identify risks and opportunities, improve operational efficiency, and strengthen reporting governance.
• The position also contributes to continuous improvement by leveraging technology, automation, and AI-enabled solutions to enhance business outcomes.

What You Will Do

• Develop, maintain and enhance dashboards, management information reports and business intelligence solutions that support revenue management and operational decision-making.
• Extract, transform, reconcile and validate data from multiple systems and platforms to ensure accuracy, completeness and reliability of reporting outputs.
• Analyse revenue, operational and performance trends to identify insights, risks, opportunities and areas for business improvement.
• Translate business requirements into clear reporting specifications, analytical models and practical BI solutions in collaboration with stakeholders.
• Automate manual reporting processes and improve data workflows to enhance efficiency, consistency and turnaround times.
• Prepare clear analytical commentary, presentations and insights for business stakeholders, leadership forums and performance review discussions.
• Maintain effective stakeholder relationships by providing reporting support, responding to data queries and advising on the interpretation of insights.
• Support data governance by documenting reporting logic, data definitions, assumptions and controls to promote consistency and audit readiness.