GTM Analytics Lead
Granola is hiring a GTM Analytics Lead in San Francisco, United States. It pays $170k-$200k a year and Level rates it ; you can apply on Granola.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include dbt, analytics and sql.
- Level classifies it as a lead role.
- Level lists 22 other open roles at Granola.
AI in this role
Lead go-to-market analytics role building dbt models and dashboards to scale the GTM engine at an AI notepad company.
About Us
We're Team Granola 👋
Granola is an AI-powered notepad for people in back-to-back meetings. What started as a better way to take notes has become a shared workspace that helps teams capture, organize, and act on what matters.
We're building a product people genuinely love and are fortunate to work with many of the world's most ambitious companies.
About the Role
We’re looking for a GTM Analytics Lead to help Granola better understand and scale our go-to-market engine through data.
You’ll partner closely with leaders across Sales, Marketing, Customer Success, GTM Operations and Finance to turn important business questions into trusted metrics, clear analysis and turn insights into decisions that drive growth and improve how we operate. This is a deeply hands-on role: you’ll build the dbt models and dashboards behind your work, while partnering with Engineering on the underlying data infrastructure and availability of source data.
What You’ll Do
Turn important business questions into actionable analysis. Partner with functional leaders to clarify what they are trying to understand, structure the analysis and communicate clear conclusions and recommended actions.
Help our Go-to-Market teams understand performance. Develop analysis across the customer lifecycle, including acquisition, pipeline, conversion, revenue, expansion, retention and customer health.
Build dashboards that help teams make decisions. Create intuitive reporting that gives leaders and operators a clear view of performance and its underlying drivers, while collaborating with GTM Operations and other teams that build reporting across the business.
Build data models that reflect how Granola operates. Develop and improve our dbt modeling layer, turning data from across our systems into clean, intuitive datasets that support reliable analysis and reporting.
Create trusted definitions for our core metrics. Partner with teams across Granola to define the metrics that matter, codify those definitions in our data models and improve consistency across dashboards and tools.
Partner with Engineering on our data foundation. Translate analytical needs into clear data requirements, identify gaps or quality issues and work with Engineering to ensure the data needed by the business is reliable and accessible.
What We're Looking For
Background & Experience
6+ years of experience across go-to-market analytics, business intelligence, analytics engineering or similar roles.
Significant experience supporting Go-to-Market teams at a high-growth technology company, with a strong understanding of SaaS metrics across acquisition, pipeline, conversion, revenue and retention.
Expert SQL skills and substantial hands-on experience building and scaling production data models in dbt.
Experience designing clean, scalable data models that combine information across CRM, billing, product usage and other operational systems.
Expertise in building intuitive dashboards and self-service reporting in modern BI tools such as Omni, Looker or Tableau.
A track record of tackling ambiguous business questions through to structured analysis, clear conclusions and recommended actions.
Skilled at partnering directly with functional leaders and translating between business problems and technical requirements.
Skills and traits
Hands-on builder who enjoys creating and improving analytical foundations as the company scales.
Commercially minded problem solver who can bring clarity to ambiguity and make progress without perfectly defined requirements.
Collaborative and low ego. You raise the quality of the people and work around you without needing to own everything yourself.
Clear, concise communicator who can make complicated analysis understandable and move comfortably between technical work and business partnership.
About the Opportunity
We are living in the most exciting time for tool builders since Engelbart's demo in 1968 and we want to assemble the best crew to build this future together. Our compensation philosophy is to hire the best people in the market and pay them accordingly with salary, variable, and equity.
Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.
Compensation
$170k - $200k + equity and benefits!
Our compensation philosophy is to hire the best people in the market and pay them accordingly with salary, variable, and equity.
How we rate this
GTM Analytics Lead at Granola rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Walk me through how you've used dbt in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Analytics, SQL, Business Intelligence, Data Modeling, and dbt. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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