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.