Overview: As the Analytics Engineer for Finance and GTM, you’ll build and own the datasets and reporting the company relies on. You’ll turn data from NetSuite, HubSpot, and other sources into clean, trusted, well-documented datasets, then surface them as reporting that drives pipeline performance, revenue forecasting, retention, and more. You’ll be the finance and GTM data domain expert, pairing strong SQL and dimensional modeling with financial fluency to create reliable data layers that power AI-driven insights across the business.

Responsibilities

Qualifications:

Build and maintain gold-standard finance datasets in Databricks aligned with Data Architecture standards.
Build Finance and GTM reporting in Omni including pipeline performance, NRR, GRR, revenue forecasting, deal velocity, close rates, and budget versus actuals.
Standardize financial metrics across Finance, Sales, and CX.
Improve forecasting accuracy and unit economics including ARR, retention, CAC, and LTV.
Own data quality, documentation, and AI-ready finance reporting layers.
Maintain finance reporting inventories, metric definitions, and reconciliations.
Automate recurring finance workflows including board and investor reporting.
Partner with Finance, Data Architecture, Sales, CX, and executive stakeholders.
5+ years as an Analytics Engineer, Data Analyst, or similar role supporting finance data in a B2B SaaS environment.
Strong SQL and dimensional modelin

Responsibilities

Qualifications:

Build and maintain gold-standard finance datasets in Databricks aligned with Data Architecture standards.
Build Finance and GTM reporting in Omni including pipeline performance, NRR, GRR, revenue forecasting, deal velocity, close rates, and budget versus actuals.
Standardize financial metrics across Finance, Sales, and CX.
Improve forecasting accuracy and unit economics including ARR, retention, CAC, and LTV.
Own data quality, documentation, and AI-ready finance reporting layers.
Maintain finance reporting inventories, metric definitions, and reconciliations.
Automate recurring finance workflows including board and investor reporting.
Partner with Finance, Data Architecture, Sales, CX, and executive stakeholders.
5+ years as an Analytics Engineer, Data Analyst, or similar role supporting finance data in a B2B SaaS environment.
Strong SQL and dimensional modelin

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