dbt Labs is a remote-first company with a globally distributed team. This role is open to folks based anywhere in the United States.

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 accommodation due to disability.

dbt Labs was founded in 2016 to empower analysts to create and disseminate organizational knowledge. Since then, we’ve grown to become one of the most respected brands in the analytics industry. Our product, dbt, is used by thousands of companies.

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

Specifically, we believe that:

- Code, not graphical user interfaces, is the best abstraction to express complex analytic logic

- 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 9,000 companies using dbt every week, 25,000 practitioners in the dbt Community Slack, and 1,800 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. We recently raised our series D: read the announcement here!

In this role, you can expect to...

• Apply existing dbt Labs best practices to our internal project while shaping future best practices. As the makers of dbt, dbt Labs is a leader in how companies use data. We're a data company, and we intend to be best-in-class at product analytics.
• Be a critical partner in shaping the data strategy and prioritization for dbt Labs’s product team
• Collaborate with product managers to set goals and measurements for new features and projects, and drive reporting on those goals/KPIs
• Identify strategic data opportunities for the business
• Develop and communicate strong opinions about best practices in Analytics Engineering
• Contribute learnings back to the dbt community (via writing about the work you do, teaching at dbt Learn, etc)

You are a good fit if you...

• Have worked with dbt for 1+ year(s)
• Consider yourself well-versed in product analytics (e.g. feature tracking/usage, funnel analysis, setting success metrics) and event data (e.g. Snowplow, Segment, etc)
• Are proficient in writing analytical SQL and understand the difference between SQL that works, and performant SQL
• Have experience using the command line and git
• Have a solid understanding of data warehouses and business intelligence tools
• Have 2+ years experience as a product data analyst at a SaaS company
• Can communicate clearly and directly about complex technical topics
• Have experience using Looker or other BI tools to build automated reporting
• Are passionate about building the best version of whatever you’re working on
• Are highly motivated to work autonomously, with strong organizational and time management skills

Compensation & Benefits

• Salary: $110k -130k 
• Benefits: Unlimited vacation, 401k w/ 3% guaranteed contribution, health/vision/dental insurance, and paid parental leave

What to expect in the hiring process

• Initial phone screen with Head of Data (30-minute Zoom call)
• Interview with our Chief of Product (30-minute Zoom call)
• After that, we’ll ask you to complete a project that will take about 2-3 hours. The basic gist of this project will be to set up a dbt Cloud account/dbt project and refactor a query we provide you using dbt. 
• Project review with two analytics engineers (45-minute Zoom call)
• Final round interview with Product Manager (45min - white-boarding session), Head of Data (30 minutes - collaboration and final questions)
• Value fit: CEO (30-minute Zoom call)

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