Data Systems Analyst
Listed on 2026-02-14
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Cloud Computing
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.
AboutThe Role
Zoom Info 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.
Who You AreSystems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You ve worked with data pipelines, ETL systems, or data processing infrastructure—maybe you ve improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.
Opinionated Technical Contributor: You don t just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You re comfortable saying "here s what I think and why" based on your technical understanding.
Growth-Oriented Problem Solver: You re excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You ve tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.
Analytical and Hands-On: You re equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what s really happening. You dig into details when needed and know when to zoom out to see the bigger picture.
Clear Communicator: You can explain technical complexity to non-technical audiences. You ve worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.
Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren t always well-defined. You maintain momentum and quality even when the path forward isn t perfectly clear.
What You ll DoIn 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.
Deep Pipeline & Systems Expertise
- Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how…
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