Senior Data Analyst

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. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

About the Role

ZoomInfo is seeking a Senior Data Analyst to join our Company Data team. In this high-impact role, you will lead initiatives that connect immediate data quality needs with long-term system improvements. You’ll combine analytical skill, technical understanding, and a customer-focused mindset to ensure ZoomInfo’s company data is accurate, comprehensive, and strategically aligned.

As a trusted partner to Engineering, Product, and Data Leadership, you will actively participate in design discussions, ensuring that data quality and customer impact are central to system improvements and long-term planning.

Who You Are

• Data Systems Expert: You understand the structure, flow, and dependencies of company data, and can translate complex technical concepts into actionable recommendations
• Strategic Thinker: You anticipate future data needs and design solutions that balance short-term improvements with long-term capability
• Collaborative Partner: You maintain strong relationships across Product, Engineering, and other analysts, helping guide prioritization, design decisions, and validation strategies
• Analytical Investigator: You leverage data and research to identify opportunities, validate solutions, and ensure decisions are grounded in evidence
• Team-Oriented Influencer: You elevate team capability through mentorship, collaboration, and a bias for action, ensuring complex initiatives succeed collectively

What You’ll Do

• Develop deep expertise in company data systems and profiling tools by reviewing existing documentation, analyzing workflows, and engaging with stakeholders
• Create clear, authoritative documentation, system maps, and onboarding guides that capture dependencies, design rationale, and technical feasibility
• Lead the planning and execution of major system transitions, including defining success metrics, validation strategies, testing approaches, resource needs, and coordination with Product and Engineering
• Ensure profiler outputs meet or exceed current quality standards by guiding cross-functional validation efforts
• Collaborate with Product and Engineering to define profiler requirements that balance customer workflows, competitive considerations, and feasibility constraints
• Translate insights from data quality initiatives, project work, and new sources into actionable, system-level improvement priorities
• Establish frameworks for evaluating tradeoffs between technical complexity, feasibility, and customer impact when designing or improving processes
• Partner with fellow analysts and cross-functional teams to identify systemic opportunities and guide prioritization decisions
• Conduct thorough impact analyses and validation studies, including hands-on verification of data quality and system outputs
• Capture and share lessons learned, creating reusable documentation that supports knowledge retention and team onboarding
• Drive continuous improvement in profiling capabilities, efficiency, quality, and coverage, and contribute technical insights that inform product strategy

What You’ll Bring

• Bachelor’s degree in Math, Engineering, Computer Science, Statistics, or a related field, with 5+ years of experience in data analytics or a similar discipline
• Proven experience leading complex, multi-quarter, cross-functional data projects with measurable impact
• Proficiency in Python, R, and SQL, with hands-on experience analyzing large, complex datasets
• Experience with company data, web data acquisition, or data quality initiatives
• Experience designing or contributing to data systems, pipelines, or profiler architectures, including tradeoff analysis and technical feasibility considerations
• Strong analytical and problem-solving skills, able to investigate complex data issues and identify effective, scalable solutions
• Excellent communication skills—able to translate technical insights into actionable recommendations for Product, Engineering, and leadership
• Demonstrated ownership and independence: drives high-impact initiatives forward while keeping teams aligned and informed
• Experience producing reusable documentation, system maps, and onboarding guides that build team knowledge and capability