Description The Payments Revenue Management team focus on the optimisation of revenues and ensure billing integrity across the International Payments product suite, working closely with product, sales and operations organizations to review and identify opportunities embedded in large billing data sets. As a Revenue Management Analyst in the Payments Revenue Management team, you will seek to continuously improve the sales and operational processes leading to improved client experience and improved firm margins. Job responsibilities Solves large scale, cross-functional problems impacting product, operations, sales and client experience Uses available statistical, financial, process and project management tools to help frame initiatives and model pricing concepts Crafts presentations for senior leaders to summarize problem statements and share recommendations Works with Product and Sales partners to assist with day to day billing questions as they arise Identifies revenue and operating risk opportunities Reviews existing policies, processes and procedures to identify best practices, implement improvements, identify technology enhancement requirements Operationalizes targeted product pricing strategies Enforces key controls related to waived fees, aged receivables and client refunds Assists with managing and executing repricing efforts and pricing simplification strategies Provides insight and training to sales, service, product and implementation partners Manages other pricing related projects as required Required qualifications, capabilities, and skills Intermediate to advanced level skills in Excel, PowerPoint, SharePoint and Access Well-developed interpersonal, organizational, analytical, problem-solving, project management and verbal and written communication skills Ability to develop relationships across diverse set of business stakeholders Proficient knowledge of control and risk management concepts including process mapping Quick learner and self-starter Preferred qualifications, capabilities and skills Experience in Qlikview, Qliksense or equivalent data visualization tools