Staff Analytics Engineer – GTM

Scribe

. Design and build foundational GTM data models from first principles across Sales, Marketing, and Finance .

Posted 11/3/2026full-timeSan Francisco • California • United StatesLead💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building foundational GTM data models and establishing metrics for pipeline, bookings, and revenue. Proficient in SQL and data modeling, with a strong ability to communicate complex data insights to diverse audiences.

Highest-signal resume keywords

Analytics EngineeringData ModelingSQL ProficiencySnowflakeGTM Data Fluency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMetrics DefinitionKPI DevelopmentTechnical GuidanceData Quality StandardsData AnalysisRevenue Data AnalysisNatural Language Processing InfrastructureAI Tooling ImplementationSaaS Data Experience

Soft Skills

MentoringCommunicationCustomer Mindset

Tools & Technologies

Dbt CloudSigmaMixpanelLooker

Industry Keywords

Sales DataMarketing DataFinance DataEnterprise SaaSGTM Culture

Tech Stack

Tools & technologies

CloudSnowflakeSQL

About the role

Key responsibilities & impact

Design and build foundational GTM data models from first principles across Sales, Marketing, and Finance
Define consistent metrics for pipeline, bookings, ARR, conversion, revenue, and customer growth
Translate ambiguous business questions into actionable metrics, KPIs, dashboards, and analyses
Partner with sales, marketing, finance, and RevOps leaders
Provide deep-dive analysis, technical guidance, and answers to GTM data questions
Establish reproducible work, documentation, data quality standards, and self-serve tooling
Build a trusted GTM data culture and make data accessible across the GTM organization
Mentor and help grow future analysts and analytics engineers
Set technical standards and best practices for GTM analytics
Report directly to the Head of Data

Requirements

What you’ll need

8+ years of experience in analytics engineering, data engineering, or analytics
Significant experience with Sales, Marketing, or Finance data at a SaaS company
Experience building data models from the ground up
Strong technical proficiency with Snowflake, dbt Cloud, Sigma, Mixpanel, and Looker
Expert SQL and data modeling skills
Fluency in GTM and revenue data, including CRM, marketing, and billing systems
Knowledge of pipeline, bookings, ACV/ARR, funnel conversion, and attribution
Experience building technical and semantic infrastructure for internal natural language agents and agentic automation
Customer mindset and ability to communicate complex findings clearly to non-technical audiences
Experience in high-paced Enterprise SaaS startups, especially during a shift from self-serve to enterprise sales, is a bonus
Experience mentoring analysts or analytics engineers, or serving as a tech lead, is a bonus
Experience creating a step-function change in GTM effectiveness with AI tooling is a bonus

Benefits

Comp & perks

Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees
Equity ownership
401(k) Plan through Vestwell
$500/year Flex Benefit for home office equipment, productivity tools, learning & development, or fitness/wellness
$100/month commuter benefits for San Francisco-based employees
Flexible paid time off and company holidays
Paid parental leave
Free Talkspace membership
One Medical access (location-dependent)
Kindbody discounts for family planning