Senior Data Analyst: Product

US - Distributed

Full Time Senior-level / Expert USD 135K - 170K
dbt Labs logo

dbt Labs

dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.

View all employer listings

Apply now Apply later

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.
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!
We’re looking for an experienced data analyst to join our Data team. They will be responsible for communicating their findings and recommendations to key stakeholders and should be proactive in seeking new and innovative solutions to solve company-wide data challenges. The role will be primarily partnering with the Growth team. They will advise on goal setting / measurement for new projects, help think through KPIs, and drive reporting on those KPIs. Sound like something you’re interested in? We’d love to hear from you.

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
  • Identify strategic data opportunities for the business by highlighting / investigating areas of opportunity
  • Improve our acquisition and account onboarding flow - from first web visit to identifying conversion drivers
  • Build and continuously monitor evergreen dashboards for teams to stay on top of their critical metrics and initiatives, and conducting deep dives to investigate success drivers of funnel metrics
  • 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...

  • Has worked in or are familiar with dbt
  • Have 4+ years experience as a product data analyst at a SaaS company with advanced domain knowledge in product analytics (e.g. feature tracking/usage, funnel analysis, setting success metrics) and event data (e.g. Snowplow, Segment, etc)
  • Have 2+ years of experience focused on feature and usage metrics, A/B testing, conversion and retention, segmentation, and developing user archetypes and their usage patterns
  • Are proficient in writing analytical SQL and you have experience with statistical software such as SAS, R, Python, SPSS, or other programs
  • Have strategic thinking skills – seeing the big picture, clarifying strategic objectives, identifying relations, patterns and trends, thinking creatively, and analyzing information
  • Have a solid understanding of data warehouses and business intelligence tools
  • Can communicate clearly and directly about complex technical topics
  • Have experience using Looker or other BI tools to build automated reporting
  • Are highly motivated to work autonomously, with strong organizational and time management skills


Compensation & Benefits

  • Salary: $135-170k 
  • 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)
  • After that we’ll ask you to complete a project that will take about 1-2 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 (30-minute Zoom call)
  • Final round interview with: Product stakeholder (30min - Gauging product sense), Product Manager (45min - whiteboarding session), Head of Data (30 minutes - collaboration and final questions)
  • Value fit: A conversation with a member of our Leadership Team (45-minutes)
#LI-Remote
Job regions: Remote/Anywhere North America
Job country: United States
Job stats:  20  3  0
  • Share this job via
  • or

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.