Principal Business Intelligence Analyst

ZoomInfo is a Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights and trusted data. They are seeking a Principal Business Intelligence Analyst to own the PLG measurement system, define how the organization measures success, and generate insights that shape product investments and growth strategy.

Responsibilities:

• Define and own the measurement framework for ZoomInfo’s PLG motion, including acquisition, activation, engagement, monetization, retention, and expansion
• Establish the company’s source of truth for PLG performance, including KPI definitions, scorecards, executive reporting, and performance benchmarks
• Define leading indicators that predict customer activation, product adoption, conversion, retention, and expansion outcomes
• Ensure measurement consistency across products, teams, and business units, enabling a unified view of customer growth and product performance
• Develop scalable frameworks that connect customer behavior to business outcomes and investment decisions
• Own analytical understanding of the end-to-end customer journey, from acquisition and onboarding through monetization and long-term retention
• Identify behavioral patterns, friction points, and conversion barriers that impact activation, adoption, retention, and expansion
• Develop customer segmentation frameworks that reveal differences in growth outcomes across personas, customer segments, and product experiences
• Lead investigations into significant changes in PLG performance, diagnosing root causes and quantifying business impact
• Identify the behaviors and product experiences most strongly associated with successful customer outcomes and long-term value creation
• Influence product investment and roadmap decisions by quantifying opportunity size, identifying high-leverage growth opportunities, and evaluating tradeoffs across competing initiatives
• Serve as a strategic advisor to Product, Growth, and GTM leadership on customer behavior trends, adoption patterns, and monetization opportunities
• Build analytical frameworks that help teams prioritize investments across onboarding, activation, engagement, monetization, retention, and expansion
• Define measurement strategies for major product initiatives and ensure business impact is accurately assessed
• Guide experimentation efforts across the PLG funnel, helping teams prioritize, evaluate, and scale growth opportunities
• Deliver executive-level insights that inform product strategy, growth planning, and resource allocation
• Redesign analytics workflows around AI-first operating principles rather than traditional manual processes
• Build automated systems that continuously monitor product performance, surface anomalies, and identify growth opportunities at scale
• Develop AI-assisted investigation workflows that accelerate root-cause analysis and reduce time-to-insight
• Establish scalable reporting and monitoring infrastructure that minimizes manual effort while maintaining analytical rigor
• Continuously evaluate emerging AI capabilities and incorporate them into the analytics operating model
• Improve self-service analytics capabilities while maintaining governance, consistency, and trust in data
• Act as a trusted strategic partner to Product, Engineering, Product Marketing, Sales, Customer Success, and Executive Leadership
• Align teams around a shared understanding of PLG performance, customer behavior, and growth priorities
• Lead cross-functional initiatives from opportunity identification through execution, measurement, and business impact assessment
• Elevate analytical standards and foster a culture of data-informed decision making across the organization

Requirements:

• 8+ years of experience in Product Analytics, Growth Analytics, Data Science, Business Intelligence, Customer Analytics, Strategy, or related fields
• Demonstrated ability to independently lead large-scale analytical initiatives with measurable business impact
• Advanced SQL, Python skills and strong analytical foundations
• Experience conducting deep-dive analyses into customer behavior, product performance, and business outcomes
• Strong statistical and experimentation knowledge
• Experience translating complex data into actionable business recommendations
• Proven ability to influence senior stakeholders and drive decisions through data
• Strong project management and prioritization skills
• Experience building scalable reporting, monitoring, and operational processes
• Experience supporting Product-Led Growth or self-service SaaS organizations
• Experience with SaaS business models and customer lifecycle analytics
• Experience leveraging AI tools to improve analytical workflows and operational efficiency