Senior Data Analyst (Product)

Senior Data Analyst (Product)

This job is no longer open

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):

  1. Interview with Talent Acquisition Partner
  2. Interview with Hiring Manager
  3. Team Interviews
  4. Final interview with one of our Values Carriers

 

This job is no longer open
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