• Own the end-to-end renewal forecasting process. • Architect and validate forecast models for churn, renewal rates, and retention outcomes with high precision. • Provide forward-looking analysis to inform financial planning and strategic decision-making. • Analyze retention metrics and trends for designated SaaS product lines. • Deliver timely, actionable insights to Retention Analytics and Customer Retention Leaders, collaborating with stakeholders across teams and management levels. • Own weekly pacing updates and monthly/quarterly reviews. • Conduct deep-dive variance analysis, identifying root causes behind retention performance vs. targets. • Anticipate the next logical questions and proactively deliver recommendations that influence business strategies. • Reconcile retention data on a weekly/monthly basis, manage manual data adjustments, and ensure the accuracy and timeliness of all reporting. • Navigate large, complex data sets and company databases to extract meaningful findings and optimize analytics workflows.