Senior Analytics Engineer (APAC)

dbt Labs is a remote-first company with a globally distributed team. This role is open to folks based in the APAC region.
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.
About Usdbt 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.
Who we areAt 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...

• 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
• Lead projects, maintain deliverables, and manage timelines
• 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)
• Mentor junior colleagues
• Serve as wide-ranging technical SME for both internal and external projects

You are a good fit if you...

• Have worked with dbt for 1+ year(s)!
• Have 4+ years experience as a data analyst, data engineer, or analytics engineer at an ecommerce or SaaS company
• 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
• 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
• Competitive salary and company equity stake
• Benefits: Unlimited vacation, excellent healthcare, office and cell/internet stipends, and paid parental leave

What to expect in the hiring process:
• An introductory call with a Talent Acquisition Partner
• A video interview with a Analytics Engineer Manager
• Take Home Task
• Task Review with two Analytics Engineers from our team
• A final video interview with a member of our leadership team

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