PandaDoc

Taking the work out of document workflow.

Senior Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteTeam 501-1,000Since 2011H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

46 days ago

Salary

$140K - $160K / year

5 yrs expEnglishAirflowAmazon RedshiftBig QueryCloudPythonSQL

Job Description

• 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

Job 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

  • Employees may be able to purchase company stock (or receive annual bonuses)
  • Employees (and their families) may enroll in the company's medical, dental, vision, short & long term disability, life insurance, FSA and 401k plans.
  • Employees will also receive 13.34+ hours of paid time off per month, 6 self care days, birthday PTO day, and 12 company paid holidays off per year.

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