• 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
• 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
• 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.
• The ideal Senior Data Analyst will have an extensive SaaS background in running SQL queries, designing product dashboards, and generating actionable product insights

Desirable

• 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.
• 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

• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews
• Final interview with one of our Values Carriers