Senior Data Pipeline Analyst

ZoomInfo Technologies LLC•Vancouver, WA

3h•Hybrid

About The Position

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.

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
5+ years of experience in data analytics, data engineering, or related technical roles
Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
Strong programming skills in Python and SQL for data analysis and manipulation
Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
Strong analytical skills with ability to investigate complex issues systematically
Excellent communication skills—able to explain technical concepts clearly to diverse audiences
Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Nice To Haves

Experience with company data, business data, web data acquisition, or data quality initiatives
Experience with data profiling, entity resolution, record linkage, or data matching systems
Background contributing to system design discussions or technical architecture decisions
Experience creating technical documentation or knowledge-sharing resources
Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
Experience designing validation strategies or testing frameworks
Track record of leading or co-leading cross-functional data projects

Responsibilities

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 isn't 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