dbt Labs is hiring a
Senior Analytics Engineer

Summary

The job is for a Senior Analytics Engineer at dbt Labs who will build scalable solutions for data transformation, key metrics reporting, and insights for the GTM and Product teams. The candidate should have 4+ years of experience as an Analytics Engineer or similar roles, expertise in SQL and Python, and experience with dbt and other data tools.

Requirements

• Excellent communication skills to convey complex technical concepts to non-technical stakeholders
• Have 4+ years of experience as an Analytics Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics
• Expertise in SQL and Python to transform data into accurate, clean data models
• Experience building data reporting and dashboarding in visualization tools to serve multiple cross-functional teams

Responsibilities

• Understand the data needs of GTM and Product teams in terms of key data models and reporting, and translate that into technical requirements
• Own our dbt instance, defining and maintaining key data pipelines and charts that power core company-wide metrics
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
• Develop canonical datasets to track key product metrics including user growth, engagement, and revenue
• Build insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
• Build foundational data products and tools to enable self-serve analytics to scale across the company
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Become an expert in our GTM and Product data models and the company's data architecture

Preferred Qualifications

• Experience developing and scaling a dbt project while leveraging engineering best practices (e.g. data quality tests, unit tests, etc)
• Have experience at a SaaS company