Senior Business Intelligence Analyst – Product Analytics

ZoomInfo is seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering.

The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next.

Product Analytics Ownership

• Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making.
• Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization.
• Define success metrics and measurement plans for product launches, features, and strategic initiatives.
• Develop and refine KPIs and measurement frameworks that align teams around product and business performance.
• Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis.
• Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives.
• Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation.

Analytics Execution & Insight Generation

• Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes.
• Translate complex business questions into actionable insights and recommendations.
• Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact.
• Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis.
• Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization.

Stakeholder Partnership & Data Storytelling

• Act as a trusted analytics partner to Product, Engineering, and Leadership teams.
• Present analytical findings and recommendations through clear narratives and effective visualizations.
• Influence prioritization and strategic decisions through evidence-based insights.
• Communicate complex analytical concepts to both technical and non-technical audiences.

Analytics Excellence & Innovation

• Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility.
• Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency.
• Contribute to scalable analytics best practices, governance, and continuous improvement across the organization.

Requirements

• 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations.
• Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations.
• Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus.
• Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders.
• Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations.
• Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance.
• Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences.
• Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights.