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# Analytics Engineer - Finance / GTM

- **Company:** OPINIION, INC.
- **Location:** Lehi, UT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Software as a Service, Data Architecture, Dimensional Modeling, Netsuite, Standard Sql, Data Layers, Data Analytics, Hubspot, Databricks
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5fd49cce59f7f24c

## About the Role

* 5+ years as an Analytics Engineer, Data Analyst, or similar role supporting finance data in a B2B SaaS environment.
 * Strong SQL and dimensional modeling skills.
 * Experience with financial reporting, forecasting, SaaS metrics, and GTM analytics.
 * Hands on experience with BI tools, ideally Omni, and Databricks.
 * Experience building AI driven financial data solutions.
 * Ability to translate finance requirements into documented data products.
 * Strong communication and stakeholder management skills.
 * Self starter with an ownership mindset in a fast moving environment.
 * Ability to build trusted datasets, reconcile data across systems, and improve data quality.

## Description

As our Analytics Engineer - Finance / GTM, you'll build and own the datasets and reporting that the company runs on. You'll turn data from various sources (NetSuite, HubSpot, etc.) into clean, trusted, well-documented datasets, then surface them as reporting leaders can act on: pipeline performance, revenue forecasting, retention, and more. You'll be our finance & GTM data domain expert, pairing strong SQL and dimensional modeling with financial fluency, building reliable data layers that power AI-driven insights across the business. You'll structure trustworthy data, and the AI on top of it, moving data intelligence forward faster., * Build and maintain gold standard finance owned 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.


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