GTM Analytics Lead — Build Our Data Foundation + Equity

Scribe Technology Solutions; San Francisco (CA); Presencial; USD 170.000 - 250.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare Coverage

Equity

401(k) Plan

Flex Benefit

Commuter Benefits

PTO

Parental Leave

Wellness & Family Support

Descripción de la vacante

Scribe is seeking a Lead Analytics Engineer for GTM to design core data models that measure pipeline, bookings, ARR, and customer growth. You will report to the Head of Data and work closely with Sales, Marketing, and Finance to deliver durable, self-serve data products.

You will mentor analysts and analytics engineers as the GTM analytics function scales, shaping a data-driven culture and enabling scalable insights across the organization.

Formación

• 8+ years of experience in analytics engineering, data engineering, or analytics at a SaaS company.
• Built data models from the ground up with clarity, scale, and trust.
• Strong SQL and data modeling skills across modern tools (Snowflake, dbt, Looker).
• Fluent in GTM and revenue data including CRM, marketing, and billing systems.

Responsabilidades

• Build Scribe’s foundational GTM data models spanning Sales, Marketing, and Finance.
• Define KPIs, dashboards, and analyses for GTM decision making.
• Collaborate cross-functionally with GTM, Sales, Marketing, and Finance teams.
• Establish data quality standards and self-serve tooling for broad adoption.
• Mentor analysts and analytics engineers as the team grows.

Conocimientos

8+ years analytics

Data modeling

Snowflake

dbt Cloud

Sigma

Mixpanel

Looker

GTM data

CRM data

Billing data

Customer focus

Low ego

Proactivity

Outcome-focused

NLP infra

Herramientas

SQL

Looker

dbt Cloud

Sigma

Mixpanel

Snowflake

Descripción del empleo

Scribe is seeking a Lead Analytics Engineer for GTM to design core data models that measure pipeline, bookings, ARR, and customer growth. You will report to the Head of Data and work closely with Sales, Marketing, and Finance to deliver durable, self-serve data products.

You will mentor analysts and analytics engineers as the GTM analytics function scales, shaping a data-driven culture and enabling scalable insights across the organization.