PandaDoc

Senior Analytics Engineer

PandaDoc

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $140,000 - $160,000 per year

Job Level

About the role

  • 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

Requirements

  • 5+ years of experience in analytics engineering, data engineering, or similar data-focused role
  • Expert-level SQL skills with experience writing complex queries, CTEs, and window functions
  • Strong experience with dbt (data build tool) for building and maintaining transformation pipelines
  • Hands-on experience with Snowflake or other cloud data warehouses (e.g. BigQuery, Redshift)
  • Familiarity with data cataloging tools (Select Star preferred)
  • Knowledge of data orchestration tools (Airflow / MWAA preferred)
  • Strong background in Python for data analysis or automation
  • Deep understanding of dimensional modeling, data warehouse design patterns, and analytics best practices
  • Experience working with SaaS metrics (MRR, churn, customer lifetime value, etc.)
  • Proficiency with GitHub for version control and collaborative development
  • Strong communication skills with ability to translate technical concepts for business stakeholders
  • Self-directed and comfortable working in a remote environment with distributed teams.
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLdbtSnowflakedata modelingdata engineeringdata analysisPythondata quality checksdimensional modelingdata transformation
Soft Skills
communicationmentoringself-directedcollaborationproblem-solvinganalytical thinkingadaptabilitystakeholder engagementteamworkbest practices promotion