About the 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, youll build deep expertise in how our company data flows from acquisition through profiling and output. Youll 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, youll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.
This isnt 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.
Youll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, youll 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 Are
Systems Thinker with Technical Depth
You understand how data systems work, not just what they produce. Youve worked with data pipelines, ETL systems, or data processing infrastructure-maybe youve 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 dont 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. Youre comfortable saying "heres what I think and why" based on your technical understanding.
Growth-Oriented Problem Solver
Youre excited to build deep expertise in a complex domain and grow into leading strategic initiatives. Youve 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
Youre equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand whats 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. Youve 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 arent always well-defined. You maintain momentum and quality even when the path forward isnt perfectly clear.
What Youll Do
In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. Youll 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, youll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.
Build 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 components interconnect
Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale
Contribute to Pipeline Evolution & Infrastructure Improvements
Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
Translate data quality investigations and emerging requirements into system-level improvement opportunities
Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches
Solve Complex, Ambiguous Data Challenges
Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving-such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
Tackle problems where the solution isnt obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
Build and apply repeatable approaches to testing, validation, and root cause analysis
Build Partnerships & Institutional Knowledge
Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities
What Youll Bring
Required
Strongly Preferred
This Role Is Not a Fit If:
This Role Is a Strong Fit If: