Senior Data Systems Analyst
Company: ZoomInfo
Location: Vancouver, Washington, United States
Salary: $102.2k - $160.6k per year
Type: Full-time
Posted: 2026-05-13
About this role
- ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers’ go-to-market strategies
- In this role, you’ll build deep expertise in how our company data flows from acquisition through profiling and output
- You’ll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure
- As you build mastery of our systems, you’ll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving
- This isn’t about building dashboards or SQL reports
- This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage
- You’ll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you’ll progressively own more of the pipeline architecture and strategic initiatives
- This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems
- In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You’ll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you’ll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives
- Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how com...