Principal Business Intelligence Analyst

ZoomInfo is where careers accelerate, and they are seeking a Principal Business Intelligence Analyst to own the company's PLG measurement system. This strategic leadership role involves defining how the organization measures PLG success and generating 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