Product Data Analyst

Product Data AnalystImmediate need for a talented Product Data Analyst. This is a 06+ Months Contract opportunity with long-term potential and is located in Santa Clara, CA (Hybrid).Key Responsibilities:Business analytics and insightsBuild 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 recommendationsDevelop 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 enablementCreate 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.Translate business requirements into structured metrics, KPI definitions, and data logic that can be embedded into dashboards, workflow tooling, and operational reviews.Cross-functional partnershipCollaborate with product management, sales programs, analytics, and operations teams to align insights with subscription strategy and lifecycle program priorities.Support business reviews, planning cycles, and strategic initiatives by surfacing trends in renewals, program adoption, lifecycle readiness, and operational friction.Key Requirements and Technology Experience: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.Strong written and verbal communication skills with the ability to present findings clearly to both business and technical audiences.High attention to detail, especially in metric definition, data interpretation, and business logic validation.Comfort operating in a fast-evolving business environment where processes, programs, and data models continue to mature.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.