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Senior Analytics Engineer

PandaDoc

full-remoteseniorbackenddata United States 3 days ago via LinkedIn

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Tags

SnowflakedbtSQLDimensional ModelingData GovernancePII HandlingSelect StarPythonAirflowSaaS Metrics

About the role

Role Overview

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

What You’ll Do

  • Design and maintain dimensional data models in Snowflake to power analytics and reporting
  • Develop and optimize dbt models to transform data from systems like Salesforce, HubSpot, and Recurly into reliable datasets
  • Create and maintain data documentation in Select Star (and other catalog tools) for discoverability
  • Partner with data analysts and business stakeholders to translate analytical needs into scalable solutions
  • Implement data quality checks and monitoring to ensure accuracy and reliability
  • Optimize SQL queries and data pipelines for performance and cost efficiency
  • Support analytics initiatives such as:
    • customer journey analysis
    • revenue analytics
    • product usage metrics
  • Contribute to data governance, including PII handling, metadata management, and quality standards
  • Mentor junior team members and promote best practices

What You’ll Bring

  • 5+ years in analytics engineering, data engineering, or a similar data-focused role
  • Expert-level SQL (complex queries, CTEs, window functions)
  • Strong dbt experience building and maintaining transformation pipelines
  • Hands-on experience with Snowflake (or similar cloud warehouses such as BigQuery/Redshift)
  • Familiarity with data cataloging tools (Select Star preferred)
  • Data orchestration tool familiarity (Airflow / MWAA preferred)
  • Strong Python skills for data analysis and/or automation
  • Deep understanding of dimensional modeling and analytics/data warehouse design patterns
  • Experience with SaaS metrics (e.g., MRR, churn, CLV)
  • Proficiency with GitHub for version control and collaboration
  • Strong communication skills for translating technical concepts to business stakeholders
  • Comfortable with remote work and distributed teams

Nice to Have

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

About PandaDoc

PandaDoc is a SaaS platform that helps organizations create and manage documents and signatures. The company uses a modern data platform to unify data from across its business systems to support analytics for customer success, revenue, and product decisions.

Scraped 4/7/2026

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