Analytics Engineer

Summary

Join dbt Labs as an Analytics Engineer and become part of a team building the foundation for scalable analytics across Go-To-Market (GTM) and Product teams. Collaborate with stakeholders to build solutions transforming data into key metrics and insights, ensuring teams have access to reliable, accurate metrics. Lead projects enabling self-serve insights for data-driven decisions. This critical role demands effective communication, business acumen, and cross-functional collaboration. The ideal candidate is a self-starter comfortable with ambiguity, detail-oriented, and thrives in fast-paced environments. You will own the dbt instance, define data pipelines, establish data integrity standards, and build dashboards to track performance. Influence the product and GTM roadmap from a data systems perspective and become an expert in data models and architecture.

Requirements

• Worked asynchronously as part of a fully-remote, distributed team
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders
• Have 2+ years of experience as an Analytics Engineer or similar Data Science & Analytics roles, preferably partnering with Accounting and Revenue Systems leads to build and report on key company-wide metrics
• Expertise in SQL and Python to transform data into accurate, clean data models
• Expertise in building multi-step ETL jobs through tooling like dbt and orchestrated through workflow management platforms like Prefect
• Experience building data reporting and dashboarding in visualization tools to serve multiple cross-functional teams
• A bias for action and urgency, not letting perfect be the enemy of the effective
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even it it requires going outside the original job description

Responsibilities

• Understand the data needs of Accounting and Revenue Systems 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

Benefits

• Salary : Commensurate based on experience
• Benefits : For employees outside the United States, dbt Labs offers a competitive benefits package