# RM Systems ManagerRM Systems ManagerSalary€NegotiableLocationDublin, IrelandContractPermanentIndustryTechnology---ContactDylan Gaffneydylan.gaffney@oliverjames.com**Revenue Systems & Best Practice Manager**Location: Hybrid – Dublin Employment Type: Full-time, Permanent**About the Role:**We are seeking a skilled Revenue Systems & Best Practice Manager to oversee revenue management systems and drive best practice implementation. This role requires deep expertise in revenue management principles and hands-on experience managing RM systems to optimise revenue.**Key Responsibilities:*** Manage and optimise revenue management systems to ensure effective forecasting, pricing, segmentation, and revenue optimisation.* Implement and embed best practices across revenue management processes.* Collaborate with commercial, finance, and IT teams to ensure RM systems align with business objectives.* Develop and maintain reporting dashboards and analytics using Power BI or Tableau to monitor key revenue KPIs.* Use SQL and Excel to extract, analyse, and manipulate data to generate actionable insights.* Apply Python skills to automate workflows, improve forecasting accuracy, and enhance data analysis.* Provide training and guidance to team members on RM systems and best practice methodologies.* Monitor industry trends and emerging technologies to continuously improve RM capabilities.**Requirements:*** Extensive experience in revenue management or managing revenue management systems.* Strong understanding of revenue management concepts including forecasting, pricing, segmentation, and optimisation.* Experience with RM systems such as Sabre, Amadeus, PROS, or similar is essential.* Advanced proficiency in Excel and SQL.* Experience with Power BI or Tableau for reporting and dashboard development.* Python programming experience is highly desirable.* Strong analytical and problem-solving skills.* Excellent communication skills and ability to work collaboratively in a hybrid setting.**Preferred Qualifications:*** Degree in Business, Economics, Data Science, or a related discipline.* Experience working in complex or high-volume commercial environments is a plus.
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