Manager, Revenue Data

Bachelor's degree in Finance, Accounting, Computer Science, Data Science, Analytics, or related field. Minimum of 6 years of experience in revenue accounting, data analytics, and/or business intelligence. Minimum of 2 years of experience in a people management role. Strong knowledge of US GAAP, ASC 606 Revenue Recognition required. Intermediate/advanced SQL skills. Python a plus. Self-motivated and self-managed. Attention to detail and swift execution. Strong analytical and problem solving skills.

Analyze financial data, optimize reporting processes, and drive data-informed decision-making. Work cross functionally with various teams on policies, processes, and programs. Supervise and mentor senior analysts in developing accounting data requirements for the Revenue Subledger system. Lead operational improvement initiatives to streamline revenue tasks and shorten the revenue close calendar. Perform monthly revenue accounting close responsibilities, including GAAP revenue analysis and reconciliations. Improve daily Revenue Reconciliation process and manage reconciliation analysis. Review new product designs and assess impact on accounting requirements for the Revenue Subledger. Review month-end close activities including reconciliation of receivables, unearned revenue, and transactional revenue. Monitor and design Data Quality checks for journal entries via the Revenue Subledger. Perform ad hoc analyses and projects.