About the company
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins.
Responsibilities
- Design and own measurement frameworks that connect customer behavior to business outcomes (activation, adoption, monetization, retention, expansion, churn)
- Establish source-of-truth definitions for key metrics and KPIs across product lines
- Build scalable reporting infrastructure and dashboarding systems that minimize manual overhead
- Develop leading indicators that predict customer success and business impact
- Ensure measurement consistency and data quality across teams and business units
- Conduct rigorous root-cause analyses on significant changes in product performance or business metrics
- Investigate customer behavior patterns, friction points, and conversion barriers across the customer journey
- Build customer segmentation frameworks that reveal behavioral differences and predict outcomes
- Identify the behaviors and product experiences most strongly associated with customer success
- Translate complex analyses into clear business narratives that shape decisions
- Quantify opportunity size and identify high-leverage areas for product investment
- Support experimentation efforts by designing test frameworks and evaluating results with statistical rigor
- Build analytical frameworks that help teams prioritize investments across the customer lifecycle
- Advise Product and GTM leadership on customer trends, adoption patterns, and growth opportunities
- Measure business impact of major product initiatives and roadmap decisions
- Redesign analytics workflows to leverage AI tools (Claude, automation, etc.) for faster investigation and scaled insights
- Build systems that continuously monitor product performance and surface anomalies proactively
- Develop scalable self-service analytics capabilities while maintaining data governance and trust
- Establish workflows that reduce manual effort and increase speed-to-insight
- Stay current with emerging AI capabilities and incorporate them into your analytical toolkit
- Partner with Product, Engineering, GTM, and executive teams as a trusted data advisor
- Elevate analytical standards and build a culture of rigorous, data-informed decision-making
- Lead initiatives from opportunity identification through execution and impact measurement
- Influence senior stakeholders through data storytelling and clear business context
Requirements
- 8+ years of experience in Product Analytics, Growth Analytics, Data Science, or related analytical fields
- Expert-level SQL and Python skills - you write clean, efficient code and debug data issues independently
- Strong statistical foundation - you understand experimental design, significance testing, and know when correlations mislead
- Demonstrated ability to lead large-scale analytical initiatives with measurable business impact
- Deep experience conducting investigations into customer behavior, product performance, and business outcomes
- Ability to translate complex data into clear, actionable business recommendations and influence decisions
- Project management discipline - you own scope, prioritize ruthlessly, and ship insights that drive action
- Strong fundamentals in building scalable systems - reporting infrastructure, monitoring, data pipelines, dashboards
Conditions
- Remote
- Preferred Qualifications: Experience in Product-Led Growth or self-serve SaaS (Figma, Notion, Slack, Linear, Calendly, etc.) - you understand activation loops and freemium economics; SaaS customer lifecycle analytics