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Senior Analytics Engineer
JOB SUMMARY
Roles
Job details
We're looking for a Senior Analytics Engineer to join our data team at PandaDoc.
In this role, you'll be at the intersection of data engineering and analytics, building the foundational data models and infrastructure that power insights across the organization.
Requirements
Design, build, and maintain dimensional data models in Snowflake that serve as the foundation for analytics and reporting across the companyDevelop and optimize dbt models to transform raw data from systems like Salesforce, HubSpot, Recurly, and other business platforms into clean, reliable datasetsCreate and maintain data documentation in Select Star and other catalog tools to ensure discoverability and understanding of our data assetsImplement data quality checks and monitoring to ensure accuracy and reliability of analytics datasetsOptimize SQL queries and data pipelines for performance and cost efficiencySupport strategic analytics initiatives including customer journey analysis, revenue analytics, and product usage metricsContribute to data governance practices including data quality standards, PII handling, and metadata managementMentor junior team members and promote best practices in data modeling and analytics engineering
Benefits
Remote-first approachHybrid work from offices in Kyiv, Warsaw, and LisbonHonest, open culture that values constructive feedbackProfessional and personal development within a collaborative, supportive team.
In this role, you'll be at the intersection of data engineering and analytics, building the foundational data models and infrastructure that power insights across the organization.
Requirements
Design, build, and maintain dimensional data models in Snowflake that serve as the foundation for analytics and reporting across the companyDevelop and optimize dbt models to transform raw data from systems like Salesforce, HubSpot, Recurly, and other business platforms into clean, reliable datasetsCreate and maintain data documentation in Select Star and other catalog tools to ensure discoverability and understanding of our data assetsImplement data quality checks and monitoring to ensure accuracy and reliability of analytics datasetsOptimize SQL queries and data pipelines for performance and cost efficiencySupport strategic analytics initiatives including customer journey analysis, revenue analytics, and product usage metricsContribute to data governance practices including data quality standards, PII handling, and metadata managementMentor junior team members and promote best practices in data modeling and analytics engineering
Benefits
Remote-first approachHybrid work from offices in Kyiv, Warsaw, and LisbonHonest, open culture that values constructive feedbackProfessional and personal development within a collaborative, supportive team.
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The company
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PandaDoc Poland





