GTM Analytics Engineer, Revenue Operations & BigQuery
Overview
You will own the entire GTM data infrastructure at Decagon, turning raw CRM and tool data into trusted models that drive every revenue decision. As the first analytics engineer on the RevOps team, you'll design and build from zero, setting standards for data modeling, quality, and pipelines used by sales leadership and the exec team. Backed by a high-velocity, in-office culture and top investors, this role offers true ownership and the chance to shape how a leading conversational AI company scales its go-to-market analytics.
What You'll Do6
- 1Build the foundational GTM data infrastructure in BigQuery, ingesting sources like Salesforce, Gong, and Outreach into a reliable data lake.
- 2Write and maintain dbt models that transform raw CRM and GTM tool data into clean, trusted tables for pipeline, forecasting, segmentation, comp, and territory reporting.
- 3Partner with sales leadership to turn ambiguous requests into durable, documented data models, avoiding one-off queries.
- 4Construct and maintain data pipelines to keep GTM data fresh, accurate, and consistent as new tools are added.
- 5Own data quality end-to-end, implementing testing, validation, and monitoring so numbers in Hex are trusted.
- 6Set technical standards and best practices for GTM data modeling as the function expands.
Requirements8
- 14+ years in data/analytics engineering, with hands-on ownership of ETL/ELT pipelines and dbt in production.
- 2Strong SQL skills and direct experience building data warehouses in BigQuery (or comparable cloud warehouse).
- 3Real experience with Salesforce plus familiarity with Gong, Outreach, or similar sales engagement platforms in a high-growth B2B company.
- 4Strong grasp of SaaS and GTM metrics like conversion rates, ARR/NRR, win rates, sales cycle length, and quota attainment, and how they derive from underlying tool data.
- 5Comfort turning messy, inconsistent source data into clean, documented tables for downstream reporting.
- 6Experience creating dashboards and ad hoc analysis with large datasets in Hex (preferred) for self-serve analytics.
- 7A builder mindset, excited to create foundational infrastructure from scratch in a fast-moving environment.
- 8Strong cross-functional communication skills to work directly with sales leadership and understand their actual needs.
Salary Insight
$190 - $230k per year
Location
Required Skills
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