GTM Analytics Engineer

Decagon

$120K — $145K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in data/analytics engineering, including ownership of ETL/ELT pipelines and dbt in production.
  • Strong SQL skills with experience in building and maintaining BigQuery data warehouses.
  • Familiarity with GTM data, particularly Salesforce, and tools like Gong and Outreach.
  • Knowledge of core SaaS and GTM metrics and their derivation from source data.
  • Ability to turn messy source data into organized, documented tables for reporting.
  • Experience with BI tools for dashboards and analytics, preferably Hex.
  • Strong cross-functional communication skills, particularly with sales leadership.

Responsibilities

  • Design and build GTM data infrastructure in BigQuery from multiple sources.
  • Write and maintain models that transform raw data into clean tables for reporting.
  • Translate ambiguous reporting requests into well-documented data models.
  • Build and maintain data pipelines for accurate, consistent GTM data.
  • Ensure data quality through testing, validation, and monitoring.
  • Establish technical standards and best practices for data modeling.

Benefits

  • Medical, Dental, and Vision benefits for you and your family.
  • Life Insurance and Disability Benefits.
  • Retirement Plan options, such as 401K or pension.
  • Parental Leave.
  • Fertility and family building benefits via Carrot.
  • Monthly wellness stipend for work-life balance.
  • Daily office lunches and snacks.
  • Flexible vacation policy allowing take-what-you-need approach.
Full Job Description
About the Team

Decagon's Revenue Operations team is a multidisciplinary group of operators combining strategic thinking, analytical rigor, and high-velocity execution. Covering GTM-wide strategy, operations and analytics, we are proactive, data-driven partners to leadership - providing critical insights, driving operational efficiency, and getting things done.

About the Role

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. This is a true 0-to-1 role with support from the broader RevOps & GTM team: you'll design lots of data structures and modeling layers from the ground up, set the standards for how GTM data gets structured, and become the trusted person to answer "where does this number actually come from."

In this role, you will
  • 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 reliable data lake
  • 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
  • Set technical standards and best practices for GTM data modeling as the function scales


Your background looks something like this
  • 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 is a plus
  • 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
  • Experience creating outputs, including dashboards, ad hoc analysis with large datasets in BI tools (Hex preferred) for dashboarding and self-serve analytics
  • A builder mindset - you're excited to build foundational infrastructure from scratch in a fast-moving environment rather than maintain an existing system
  • Strong cross-functional communication skills; you can work directly with sales leadership to understand what they actually need, not just what they ask for


Benefits

We proudly offer the following benefits for our full-time employees:
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Retirement Plan (e.g., 401K, pension)
  • Parental Leave
  • Fertility and family building benefits through Carrot
  • Monthly stipend to support your wellness, lifestyle, and work-life balance
  • Daily lunches and snacks in the office to keep you at your best
  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

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