Joshua Reasoner Email and Phone Number

•Led the 3-Week Forecast transformation for Worldwide Distribution, reducing the forecast horizon from 18+ weeks to 3, improving forecast accuracy, and enabling more agile scenario planning across regions. •Partnered with FP&A and consolidation teams to deliver two budget simulation cycles, supporting forecast tracking, variance analysis, scenario modeling, and close process management following migration to SAP BPC. •Designed and delivered 15+ SAP BPC training sessions for 60+ global finance users, strengthening adoption of driver-based planning models and standardized financial reporting in EPM. •Enhanced forecast and budget accuracy by refining driver-based models, incorporating user feedback, and evaluating over 50 system enhancements to improve planning workflows. •Coordinated cross-functional finance teams to ensure timely delivery of key forecast inputs, managing dependencies and data readiness for planning cycles across five business divisions.

•Led development of four driver-based forecasting models over eight Agile sprints, enabling more accurate scenario planning and improved forecast precision. •Created a forecasting approach for the TV library business that reduced planning volume by over 97% through data-driven materiality analysis of operating income impacts. •Managed production spending and maintained ten-year revenue forecasts for the Game Show business, partnering with accounting and development teams to ensure accurate actuals-to-forecast tracking. •Streamlined the CFO organization’s bi-annual survey cycles by 40% through building a historical data repository and developing driver-based Excel models to improve analysis and reporting efficiency.

•Developed new financial templates to enhance reporting accuracy and streamline workflows for the residuals team. •Improved existing analytical tools, reducing the quarterly data review cycle time through process optimization. •Conducted detailed data analysis and reconciliations of revenue streams and payment records to ensure accuracy and compliance. •Implemented Excel macro automation across multiple processes, significantly shortening the team’s review timeline and boosting overall efficiency.

•Analyzed film performance metrics to evaluate financial outcomes and support strategic decision-making. •Developed film title comparison lists, sourcing and consolidating financial data from multiple internal and external sources. •Conducted industry research and presented key insights in clear, actionable formats for stakeholder review.

•Led a semester-long project developing multiple data-driven models and visualizations from scratch to evaluate and “greenlight” a prospective film based on estimated financial performance. •Built comprehensive financial models incorporating box office revenue forecasts, expense budgets, amortization of participations and residuals, and projected tax incentives. •Presented complex financial analyses in clear, visually engaging formats to facilitate stakeholder understanding and decision-making.