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SalaryAbout Us
Overview
dbt Labs is seeking an experienced Senior Data Analyst to lead and drive insights and analysis connected to dbt Lab’s product adoption, engagement, and retention. This role will be responsible for providing regular analysis and insight to product line leaders. This role will be expected to proactively investigate trends and facilitate analyses to identify issues and opportunities that impact our products including dbt Explore, Semantic Layer, dbt Cloud, and others. The ideal Senior Data Analyst will have an extensive SaaS background in running SQL queries, designing product dashboards, and generating actionable product insights.
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:
- Work closely with business stakeholders, data engineers, and analytical engineers to deliver actionable insights and data-driven strategies.
- Define and analyze metrics that inform the success of products and allow us to monitor the health of product adoption and internal tooling and processes.
- Optimize funnels to reduce friction and drive the best possible experience for users who are going through any product flows necessary to become users of our products and services.
- Understand trends in user behavior and product usage to influence growth strategy.
- Identify opportunities to drive growth and prioritize them to maximize long-term growth.
- Execute on projects by working closely with engineering and other members of product teams to make a significant impact on product goals.
You are a good fit if you have:
- 5+ years experience working in product analytics.
- Worked asynchronously as part of a fully-remote, distributed team.
- Proven to effectively collaborate across variety of technical and non-technical functions to drive towards common product goals.
- Experience working with and influencing multi-disciplinary product teams including but not limited to software engineers, designers, product managers and data scientists.
- Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets.
- Experience performing exploratory analysis with minimal direction to answer ambiguous open ended questions.
- Creative product ideation skills to apply growth tactics broadly to different product areas and think through detailed elements of a product experience.
- Experience working on a product or service used by diverse communities.
You'll have an edge if you have:
- A Master’s degree in Data Analytics, Applied Analytics, Operations Research, Mathematics, Statistics or a related field.
- Experience developing and scaling a dbt project.
- Deep experience designing multivariate tests, synthesizing test results and building frameworks to make data-informed launch decisions.
Compensation & Benefits
- Salary: $168,000 - $200,000 USD
- Equity Stake
- Benefits: In the US, dbt Labs offers unlimited vacation (and yes we use it!), 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend and a home office stipend. For employees outside the United States, dbt Labs offers a competitive benefits package
- Benefits - dbt Labs offers:
- Unlimited vacation (and yes we use it!)
- 401k w/3% guaranteed contribution
- Excellent healthcare
- Paid Parental Leave
- Wellness stipend
- Home office stipend, and more!
- Equity or comparable benefits may be offered depending on the legal limitations
What to expect in the hiring process (all video interviews unless accommodations are needed):
- Interview with Talent Acquisition Partner
- Interview with Hiring Manager
- Team Interviews
- Final interview with one of our Values Carriers
Who we are
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 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\.
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.
