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, scalable metrics. Lead projects enabling self-serve insights for data-driven decisions. This critical role demands effective communication, business acumen, and cross-functional teamwork. 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 and maintain data pipelines, and establish high data integrity standards. You will also build dashboards and data products to enable self-serve analytics.

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 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
• 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 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

Benefits

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