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! Over the course of the past several years we've built a community of 20,000+ people and 5,000 companies who are using our ideas, products, and workflows to conduct analytics, including Lyft, Monzo, GitLab, Snowflake, the ACLU, Amazon, JetBlue, and RentTheRunway. Our product, dbt, has come to be synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz and Sequoia Capital, recently raising our series C: read the announcement here!

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.

--> Data analysts and analytics engineers should adopt similar practices and tools to software developers: version control, testing, multiple environments, and continuous integration.

--> Critical analytics infrastructure should be controlled by its users as open-source software.

It turns out that a lot of other people believe this too! Over the course of the past several years we've built a community of 15,000+ people and 5,000 companies who are using our ideas, products, and workflows to conduct analytics, including Lyft, Monzo, GitLab, Snowflake, the ACLU, Amazon, JetBlue, and RentTheRunway. Our product, dbt, has come to be synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz and Sequoia Capital, recently raising our series C: read the announcement here!

In this role, you can expect to...

• Set up / audit / refactor client dbt projects.
• Leverage various data warehouses, ETL tools and BI platforms for client projects 
• Refactor SQL code based on our best-in-class, in-house style guide
• Maintain deliverables, projects, and timelines for your client engagements
• Communicate findings clearly to a broad range of stakeholders
• 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 a full stack data analyst
• 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 3+ years experience as a data analyst at an ecommerce or SaaS company
• Can communicate clearly and directly about complex technical topics
• 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: $100k - $130k
• Equity Stake
• Benefits: Unlimited vacation, 401k w/ 3% guaranteed contribution, excellent healthcare, and paid parental leave


What to expect in the hiring process:
• A phone call with a recruiter
• An introductory phone call with our Head of Professional Services
• After that we’ll ask you to complete a project that will take about 1-2 hours. The basic gist of this project is to set up a dbt Cloud account/dbt project and refactor a query we provide you using dbt.
• The project review with two analytics engineers
• Final round interviews with our Director of Customer Success and CEO

#LI-Remote