GTM Analytics Engineer

Job summary

Responsibilities

Decagon is looking for its first GTM Analytics Engineer to build the data infrastructure that our entire go-to-market organization runs on. You'll own turning that raw, messy data into clean, well-modeled tables that the rest of RevOps, sales leadership, and the exec team can actually build on.

• Design and build the foundational GTM data infrastructure in BigQuery — ingesting, organizing, and modeling data from Salesforce, Gong, Outreach, and other GTM systems into a…
• Write and maintain models that transform raw CRM and GTM tool data into clean, trusted tables for pipeline, forecasting, segmentation, comp, and territory reporting
• Partner with sales leadership and cross-functional partners to translate ambiguous, ad hoc reporting requests into durable, well-documented data models rather than one-off queries
• Build and maintain data pipelines that keep GTM data fresh, accurate, and consistent as new tools and data sources get added
• Own data quality end-to-end — establishing testing, validation, and monitoring so the numbers in Hex are numbers people trust

What they're looking for

• 4+ years of experience in data/analytics engineering, with hands-on ownership of ETL/ELT pipelines and dbt in a production environment
• Strong SQL skills and direct experience building and maintaining data warehouses in BigQuery (or a comparable cloud warehouse)
• Real experience working with GTM data — Salesforce is a must, plus familiarity with tools like Gong, Outreach, or similar sales engagement platforms in a high-growth B2B company…
• Strong grasp of core SaaS and GTM metrics — conversion rates, ARR/NRR, win rates, sales cycle length, quota attainment — and how they're derived from the underlying GTM tool data
• Comfort turning messy, inconsistent source data into clean, well-organized, documented tables built for downstream reporting and dashboarding

Tech stack

• BigQuery
• dbt
• SQL