Product Analyst

Job Overview: Title: Product Analyst Location: Santa Clara CA (Hybrid) Duration: 6-7+ Months (With chances of extension) Payrate : $62-$65 Job Description: Business analytics and insights • Build and maintain recurring reporting on bookings, renewal trends, Forever versus Foundation mix, win rates, churn patterns, pricing, discounting, and install-base performance. • Analyze business performance across regions, subscription tiers, platforms, and customer segments to identify growth drivers, leakage points, and portfolio risks. • Produce executive-ready insights that connect operational and commercial signals to concrete recommendations for subscription business. AI, modeling, and recommendations • Develop analytical models and AI-driven approaches to improve lifecycle visibility, upgrade targeting, install-base segmentation, churn risk detection, and subscription growth opportunities. • Support recommendation frameworks that combine subscription rules, asset context, and business signals to drive smarter renewal, upgrade, and modernization decisions. • Partner with product and business teams to define where AI can reduce manual analysis, improve forecasting, and operationalize lifecycle actions at scale. Data products and operational enablement • Create dashboards, scorecards, and self-service analytics for stakeholders across product, subscriptions, sales, finance, CX, and operations. • Work with data teams to improve data quality, metric definitions, and access to curated subscription and telemetry datasets that support scalable reporting and decision-making. Required: • 3+ years of experience in analytics, business intelligence, strategy and operations, data analysis, or a related role supporting cross-functional business execution. • Strong analytical skills with experience in spreadsheets, SQL, reporting, KPI design, and insight generation. • Experience managing structured analyses across multiple stakeholders, systems, and data sources. • Experience with AI or machine learning use cases in analytics, forecasting, recommendation systems, or operational decision support. • Experience with subscription, renewal, pricing, or lifecycle businesses.