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Analytics Engineer, Revenue Systems

Philippines - Remote

About Us 

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week. 

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,100 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

  • Code-based data transformations unlock transparency, flexibility, and collaboration
  • Analysts should adopt software engineering best practices to build trusted data products
  • Core analytics infrastructure should be open source and user-controlled
  • Analytic code—not just tools—should be shared and community-driven
dbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
 

About the role: 

As an Analytics Engineer at dbt Labs, you will be part of a team building the foundation to scale analytics across our Accounting and Revenue Systems team. You will collaborate with key stakeholders to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.

This is a critical role for the organization and requires an individual with effective communication skills, outstanding business acumen, and the ability to work across various functional teams, especially Revenue and Accounting, and internal partner teams. We are looking for individuals who are self-starters comfortable with ambiguity, demonstrate strong attention to detail, and have the ability to work in a fast-paced and ever-changing environment.

In this role, you can expect to:

  • 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 Accounting, Finance and Revenue teams from a data systems perspective.
  • Become an expert in our data models and the company's data architecture.

You are a good fit if you have:

  • 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.

You'll have an edge if you have:

  • 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

Compensation & Benefits

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

What to expect in the hiring process (all video interviews unless accommodations are needed):

  1. Interview with Talent Acquisition Partner
  2. Interview with Hiring Manager
  3. Technical Assessment
  4. Team Interviews

 

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

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