Description
At ZoomInfo, we're looking for a Senior Data Systems Analyst to join our team. As a key member of our data operations team, you'll be responsible for building deep expertise in our company data pipeline, which ingests, processes, and profiles millions of company records. Your primary focus will be on mastering our pipeline architecture, contributing to our infrastructure transition, and leading strategic data improvement initiatives.
In your first 6-12 months, 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.
Key responsibilities include:
- Mastering our company data pipeline architecture, including how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
- Reading and analyzing production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
- Developing frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
- Creating clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale
- Contributing to pipeline evolution and infrastructure improvements by participating in design conversations with Engineering and Product, validating pipeline improvements through rigorous testing, and translating data quality investigations and emerging requirements into system-level improvement opportunities
- Solving complex, ambiguous data challenges by leading or contributing to data improvement initiatives that require both systems thinking and creative problem-solving
- Building partnerships and institutional knowledge by developing strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts, conducting impact analyses and validation studies, and documenting your learning, approaches, and insights
We're looking for a highly skilled individual with a strong background in data analytics, data engineering, or related technical roles. You should have experience working with data pipelines, ETL systems, or data processing infrastructure, and be able to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility.
Required qualifications include:
- 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
- Ability to read and understand code (Python, Java, SQL, or similar)
- 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
Preferred qualifications include experience with company data, business data, web data acquisition, or data quality initiatives, as well as experience with data profiling, entity resolution, record linkage, or data matching systems.