ZoomInfo is seeking to solidify its position as the global leader in contact data by driving data-informed decisions that elevate quality, expand assets, and separate ZoomInfo from competitors.
Requirements
- Proficiency in programming languages for data analysis (e.g., Python, R, SQL, Stata, SAS)
- Experience with statistical methods and data science applications
- Experience with quality monitoring, and root cause analysis
- Experience creating data visualizations and presenting technical findings to executive stakeholders
- Experience with B2B data or CRM data
- Basic working knowledge of AI tools and concepts, including how modern LLMs operate
- Understanding of machine learning fundamentals
Responsibilities
- Own analysis projects end-to-end, from identifying opportunities to presenting findings to stakeholders across Product, Engineering, and Data Leadership
- Proactively lead analyses that modernize and scale key components of our contact data pipeline, including title classification, address normalization, profiling, and matching
- Leverage domain expertise to identify and deliver strategic opportunities that expand ZoomInfo's contact data capabilities and develop new products/features
- Implement AI-driven monitoring systems to proactively detect and resolve critical data quality issues, reducing manual intervention and preventing recurring problems
- Establish automated testing frameworks to integrate new datasets and attributes, driving acceleration of database improvements
- Serve as the contact data pipeline expert for Product teams, developing compelling product positioning and technical messaging for releases
- Streamline analysis workflows through automation, AI integration, and improved scripting practices
Other
- Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination
- Advanced degree preferred
- 2+ years experience in a senior analytical role with proven leadership and mentorship capabilities
- Strong interpersonal and collaboration skills
- Customer-focused mindset with understanding of how data quality impacts business outcomes
- Demonstrated ability to work independently while managing multiple complex projects simultaneously
