About the role

Role Overview

Join PandaDoc’s data team as a Senior Analytics Engineer, bridging data engineering and analytics. You’ll design foundational data models and infrastructure that convert raw business data into trusted, accessible datasets for reporting and strategic decision-making.

What You’ll Do

Design and build dimensional models in Snowflake for enterprise analytics and reporting.
Develop and optimize dbt transformations to convert data from systems like Salesforce, HubSpot, and Recurly into reliable datasets.
Maintain data documentation in Select Star (and related catalog tools) to improve discoverability and understanding.
Partner with analysts and business stakeholders to translate analytical needs into scalable data solutions.
Implement data quality checks and monitoring to ensure accuracy and reliability.
Optimize SQL queries and pipelines for performance and cost efficiency.
Support analytics initiatives such as customer journey, revenue analytics, and product usage metrics.
Contribute to data governance (data quality standards, PII handling, metadata management).
Mentor junior team members and promote best practices in 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 dbt experience for building/maintaining transformation pipelines.
Hands-on with Snowflake (or similar warehouses like BigQuery/Redshift).
Familiarity with data cataloging tools (Select Star preferred).
Experience with orchestration (Airflow / MWAA preferred).
Strong Python skills for analysis and/or automation.
Deep understanding of dimensional modeling and data warehouse design patterns.
Experience with SaaS metrics (e.g., MRR, churn, LTV).
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

Reverse ETL experience (e.g., Hightouch).
Some BI exposure (Hex preferred).
Familiarity with data mesh / domain-oriented data architecture.

About PandaDoc

PandaDoc is a SaaS company that helps organizations create and manage proposals and documents to support sales and customer workflows. The role sits within PandaDoc’s data team, building and operating a modern analytics data platform to power customer success, revenue growth, and product decision-making.