Senior Analytics Engineer

We're looking for a Senior Analytics Engineer to join our data team at PandaDoc. In this role, you'll be at the intersection of data engineering and analytics, building the foundational data models and infrastructure that power insights across the organization.

Requirements

• Design, build, and maintain dimensional data models in Snowflake that serve as the foundation for analytics and reporting across the company
• Develop and optimize dbt models to transform raw data from systems like Salesforce, HubSpot, Recurly, and other business platforms into clean, reliable datasets
• Create and maintain data documentation in Select Star and other catalog tools to ensure discoverability and understanding of our data assets
• Partner with data analysts and business teams to understand their analytical needs and translate them into scalable data solutions
• Implement data quality checks and monitoring to ensure accuracy and reliability of analytics datasets
• Optimize SQL queries and data pipelines for performance and cost efficiency
• Support strategic analytics initiatives including customer journey analysis, revenue analytics, and product usage metrics
• Contribute to data governance practices including data quality standards, PII handling, and metadata management
• Mentor junior team members and promote best practices in data modeling and analytics engineering

Benefits

• Purchase company stock
• Medical, dental, vision, short & long term disability, life insurance, FSA and 401k plans
• 13.34+ hours of paid time off per month
• 6 self care days
• Birthday PTO day
• 12 company paid holidays off per year