Analytics Engineer

About Us

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.  

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 Go-To-Market (GTM) and Product teams. 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 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 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.

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 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.

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

 

Who we are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

• Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
• Data analysts should adopt similar practices and tools to software developers
• Critical analytics infrastructure should be controlled by its users as open source software
• Analytic code itself — not just analytics tools — will increasingly be open source

It turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. 

dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns.  If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation. 

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

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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