About the role

Role Overview

PandaDoc is hiring a Senior Analytics Engineer to join its data team. You’ll build the foundational data models and infrastructure that turn raw business data into trusted, reusable datasets for analytics and strategic decision-making.

Key Responsibilities

Design and maintain dimensional data models in Snowflake to support reporting and analytics across the organization.
Build and optimize dbt models to transform raw data from systems like Salesforce, HubSpot, and Recurly into clean, reliable datasets.
Document and catalog data assets using Select Star (and related catalog tools) to ensure discoverability.
Partner with data analysts and business stakeholders to translate analytical needs into scalable data solutions.
Implement data quality checks and monitoring to ensure dataset accuracy and reliability.
Optimize SQL queries and data pipelines for performance and cost efficiency.
Support analytics initiatives such as customer journey analysis, revenue analytics, and product usage metrics.
Contribute to data governance, including data quality standards, PII handling, and metadata management.
Mentor junior team members and promote best practices in data modeling and analytics engineering.

What You’ll Bring

5+ years in analytics engineering, data engineering, or a similar data-focused role.
Expert SQL skills (complex queries, CTEs, window functions).
Strong experience with dbt for transformation pipelines.
Hands-on experience with Snowflake (or other cloud warehouses like BigQuery/Redshift).
Familiarity with data cataloging tools (Select Star preferred).
Experience with orchestration tools (Airflow / MWAA preferred).
Strong Python skills for analysis and automation.
Deep understanding of dimensional modeling and data warehouse/analytics design patterns.
Experience with SaaS metrics such as MRR, churn, and customer lifetime value.
Proficiency with GitHub for version control and collaboration.
Strong communication skills to translate technical concepts to business stakeholders.
Comfortable working remotely with distributed teams.

Nice to Have

Experience with reverse ETL tools such as Hightouch.
Exposure to BI tools (e.g., Hex preferred).
Understanding of data mesh / domain-oriented data architecture concepts.

About PandaDoc

PandaDoc is a SaaS company that helps businesses create and manage document workflows, such as proposals and contracts. The role is within PandaDoc’s Data Platform/Data team, focused on building a modern analytics and data engineering infrastructure to power insights for customer success, revenue, and product development.