Fee Operations & Analytics Consultant Overview • The Fee Operations & Analytics Consultant will support the Data and Tax Operations team in optimizing fee arrangements and analytics processes. • Engage in fee calculations, revenue validation, and process improvement using advanced technologies and automation tools. • Collaborate with financial services operations, ensuring accuracy and high-quality deliverables. • Analyze fee data to identify trends and recommend automation opportunities. • Gain exposure to business controls, data management, and supporting technologies. • Work in a hybrid environment, combining remote flexibility with in-office collaboration. • Leverage Microsoft tools and artificial intelligence for process optimization. • Contribute to a diverse and inclusive team committed to excellence. Fee Operations & Analytics Consultant Key Responsibilities & Duties • Set up and maintain fee arrangements for both new and existing accounts. • Support fee calculations and validate revenue processes for accuracy. • Analyze fee data and processes to identify trends and improvement opportunities. • Utilize Microsoft tools, artificial intelligence, and robotic process automation for optimization. • Collaborate with teams to enhance financial services operations and data management. • Prepare reports and presentations using Microsoft Excel, PowerPoint, and Word. • Gain exposure to technology-enabled process improvements and automation tools. • Ensure compliance with business controls and operational standards. Fee Operations & Analytics Consultant Job Requirements • Bachelor of Arts in Finance, Accounting, Data Analytics, Computer Science, or a related field. • Minimum of 1 year, preferably 3 years, of relevant experience. • Proficiency in Microsoft Excel, PowerPoint, and Word. • Experience or interest in data analytics, automation, and artificial intelligence. • Strong analytical, problem-solving, and communication skills. • Attention to detail and commitment to producing accurate, high-quality work. • Exposure to PL/SQL, RPA, or AI tools is a plus. • Ability to work in a hybrid environment effectively.