Senior Data Systems Analyst

Responsibilities

• Build Data Quality Expertise
• Master how our business entity data behaves as it flows through our pipeline: what transforms are applied at each stage, where quality issues emerge, and how changes impact downstream data
• Review production code to understand how data is processed and assess how proposed changes would impact data quality
• Create documentation and system maps that capture how data is processed, dependencies, and quality considerations
• Drive Pipeline Improvements
• Partner with Engineering and Product on pipeline enhancements, bringing data quality insights, business impact assessments, and informed opinions on data requirements
• Validate improvements through rigorous testing and hands-on verification of data quality
• Translate data quality investigations into system-level improvement opportunities
• Solve Complex Data Challenges
• Lead data improvement initiatives that require systems thinking and creative problem-solving (improving location verification, integrating new data sources, or solving novel extraction challenges)
• Tackle ambiguous problems through understanding processing logic, manual investigation, and cross-functional coordination
• Build repeatable approaches to testing, validation, and root cause analysis

Requirements

• Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines or ETL workflows and can review code (Python, Java, SQL) to understand data transformations and trace how data flows through systems.
• Opinionated Technical Contributor: You have informed opinions on how things should work. You assess technical tradeoffs, evaluate solution feasibility, and contribute meaningfully to conversations with engineers based on your understanding.
• Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and take on strategic projects. You've tackled ambiguous problems that required figuring things out as you went.
• Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases. You dig into details when needed and know when to zoom out to see the bigger picture.
• Required
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics or related technical roles with focus on data quality and pipeline systems
• Experience working with data pipelines, ETL systems, or data processing workflows where you understand how data moves through systems and what can go wrong
• Strong skills investigating data quality issues through profiling data, identifying anomalies, tracing root causes, and validating fixes
• Ability to understand data transformations by reviewing SQL, Python, Java, or similar code
• Strong programming skills in Python and SQL for data analysis, profiling, and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing well-defined analyses
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business needs
• Self-directed with strong ownership mentality; you drive y

Additional Information

ZoomInfo 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. ZoomInfo is seeking a Senior Data Analyst to become the expert on our business entity 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 business entity data flows from acquisition through profiling and output. You'll understand how data is transformed and processed through the pipeline, bring informed opinions to technical conversations, and help shape the evolution of our data quality capabilities. 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 how data behaves as it moves through systems, solving complex data quality challenges, and ensuring our pipeline continuously evolves to meet customer needs and maintain competitive advantage.

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