Data Analyst

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.

About the role :

ZoomInfo is seeking a Senior Data Analyst to join the Data Operations and Analysis team, supporting the broader Data organization and partnering closely with Product, Engineering, and Research. This role focuses on driving strategic improvements in data infrastructure, pipeline design, data quality, and analytics at scale. The ideal candidate will design scalable data solutions, automate complex workflows, and transform structured and unstructured data into actionable insights. In addition to delivering advanced technical and analytical solutions, the Senior Data Analyst will influence data strategy, define KPIs and measurement frameworks, mentor junior analysts, and play a key role in enhancing the quality and long-term success of ZoomInfo's data assets.

What you’ll do

• Develop a deep understanding of ZoomInfo's data assets, infrastructure, and data operations to identify opportunities for improving data quality, accuracy, coverage, and scalability.
• Design, build, and optimize scalable cloud-native data pipelines and automation solutions using SQL(Snowflake), BigQuery, Python, Databricks, PySpark, Spark, and ETL/ELT frameworks.
• Leverage AI/GenAI/LLMs (including Claude Code), AI integrations, MCPs, APIs, and web scraping technologies to automate data acquisition, enrichment, validation, and processing.
• Analyze large structured and unstructured datasets, design experiments, validate hypotheses, and deliver actionable insights through dashboards, KPIs, and reporting frameworks.
• Partner closely with Data Engineering, Product Management, and Research teams to drive strategic data initiatives from discovery through implementation.
• Lead end-to-end delivery of large-scale, cross-functional data projects while maintaining rigorous data quality standards across pipelines and deliverables.
• Translate complex technical analyses into clear, business-focused recommendations for both technical and non-technical stakeholders.
• Mentor and coach junior analysts, contribute to hiring and foster a culture of continuous learning, technical excellence, and collaboration.
• Demonstrate strong problem-solving, curiosity, and self-driven ownership by proactively exploring data, proposing innovative solutions, and driving measurable business outcomes.