Senior Data Analyst

Overview

Zoom Info 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
:
Zoom Info is seeking a Senior Data Analyst to join our Company Data team. In this high-impact role, you’ll lead multi-quarter initiatives that bridge immediate data quality needs with long-term pipeline capabilities. You’ll combine advanced analytical skills with deep expertise in company data systems to deliver transformational improvements that directly impact customer experience and competitive positioning. As a trusted advisor to Product, Engineering, Data Acquisition, and Data Leadership teams, you will drive innovation that powers our customers’ modernized GTM workflows.

• Strategic Project Leader:
  You independently own complex, multi-quarter projects, managing scope, stakeholders, and iterative solutions.
• Creative Problem-Solver:
  You thrive on ambiguous and novel data challenges, blending analysis, pattern recognition, and hands-on research.
• Cross-Functional Collaborator:
  You build trust and drive results across teams while maintaining alignment and momentum.
• Steward of Knowledge:
  You capture and share insights, ensuring institutional knowledge persists and bridges current initiatives to long-term pipelines.
• Technical Expert:
  You have advanced proficiency in statistical analysis, data modeling, and programming (Python, R, SQL) with strong judgment on prioritization and impact.

• Lead 2-4 major cross-functional projects (1 quarter–1 year) to improve company data quality, coverage, and strategic impact
• Own the location verification project end-to-end, delivering measurable gains in address accuracy, international coverage, and industry-specific quality
• Solve complex challenges such as collecting structured data from directories, handling language/encoding issues, and filtering irrelevant addresses using analysis, manual research, and creative problem-solving
• Establish repeatable frameworks for testing, validation, and problem-solving, combining technical analysis with hands-on observation
• Build trusted partnerships across Data Acquisition, Shared Services, Product, and Engineering to co-develop solutions and assess feasibility
• Create standardized project scoping, testing, and validation methodologies that balance analytical rigor with practical implementation
• Translate immediate data quality insights into long-term pipeline improvements, ensuring learnings from current initiatives inform the company data pipeline and other downstream capabilities
• Produce clear, reusable documentation of project approaches, logic, and lessons learned to ensure institutional knowledge continuity
• Transition mature projects smoothly to pipeline teams for long-term maintenance and optimization
• Lead multi-quarter programs that provide measurable competitive advantage and long-term pipeline improvements

• Bachelor’s degree in Math, Physics, Engineering, Computer Science, Statistics, or related field; 5+ years in data analytics (advanced degree preferred)
• Proven track record leading complex, multi-quarter, cross-functional data projects
• Advanced programming skills for analysis (Python, R, SQL) and strong statistical modeling capabilities
• Experience with company data, web data acquisition, or data quality initiatives
• Strong problem-solving skills, project management, and stakeholder coordination abilities
• Excellent communication skills—ability to translate technical findings into compelling narratives
• Demonstrated ownership mentality, with ability to work independently on multiple complex initiatives
• Knowledge of web data acquisition, HTML/DOM structures, or directory/data extraction systems is a plus
• Experience creating data visualizations and presenting technical findings to executive stakeholders

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or…