Senior Analytics Engineer

• We are seeking an experienced Senior Analytics Engineer to join the Enterprise Data Engineering team at ZoomInfo
• As an Analytics Engineer, you will play a pivotal role in advancing the maturity of our data organization
• Working cross-functionally with Engineering, Product, Security and business stakeholders, you’ll design, build, and own the core infrastructure and data models that power data-driven decision-making across the organization
• Design, develop, and maintain scalable analytics data models that support reporting, business intelligence, product analytics, and operational decision-making
• Build and manage trusted data pipelines and transformation workflows using modern analytics engineering practices
• Partner with stakeholders across Engineering, Product, Design, Strategy & Operations, and AI Platform to understand business needs and translate them into effective data solutions
• Establish clear definitions, metrics, dimensions, and data contracts to create consistency across teams and use cases
• Develop reusable datasets and semantic models that enable self-service analytics and reduce duplicated work
• Improve the reliability, performance, observability, and maintainability of analytics infrastructure
• Implement data quality checks, testing, documentation, lineage, and monitoring for critical data assets
• Collaborate with data engineers and platform teams to optimize data architecture, warehouse performance, and transformation workflows
• Work with analysts, data scientists, and business partners to ensure data products are intuitive, discoverable, and fit for purpose
• Help establish best practices for analytics engineering, including version control, code review, CI/CD, documentation, and deployment standards
• Communicate technical concepts clearly to both technical and non-technical audiences

Benefits

• Benefits for the Best You - We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being
• Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
• Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
• Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
• Vacation & Time Off - We know everyone’s needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
• Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance

• Experience working with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift
• Strong SQL skills, including experience developing complex queries and dimensional data models
• Strong communication, problem-solving, and organizational skills
• 4+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related field
• Experience building and maintaining analytics transformations using tools such as dbt or comparable frameworks
• Proficiency in Python or another programming language used for data processing and automation
• A thoughtful approach to data governance, security, privacy, and responsible use of data
• Familiarity with data cataloging and lineage tools
• Strong understanding of data modeling concepts, including dimensional modeling, fact and dimension tables, slowly changing dimensions, and semantic layers
• Demonstrated ability to partner with cross-functional stakeholders and translate ambiguous business questions into scalable data solutions
• Experience implementing data quality testing, monitoring, documentation, and observability practices