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# Analytics Engineer, GTM

- **Company:** OWNER
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Software as a Service, Information Engineering, Data Integrity, Extract Transform Load (ETL), Python (Programming Language), Salesforce.Com, SQL Databases, Snowflake, Backend, Data Analytics, Data Pipelines
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=62bef2a28c16b3a6

## About the Role

* At least 5 years of experience in a data engineering or analytics engineering role.
 * Expert in SQL and DBT: strong track record of designing conceptual data models, developing comprehensive data tests, and establishing a clear, efficient single source of truth (SSOT).
 * A proven track record of developing and managing marketing / sales / GTM analytics from scratch.
 * Ability to build comprehensive end to end Data products (snowflake, DBT, Sigma).
 * Moderate Python experience would be considered an asset.
 * Highly organized, with an eye for precision and a love for keeping things tidy.
 * Experience with SaaS and/or startups is highly preferred.
 * Prior experience in the restaurant industry is a plus!

## Description

* Design and implement scalable, efficient Data Products that drives business value within our GTM product. Examples include sales heatmap & overall efficiency; quotas & attainment; revenue attribution; marketing attribution; marketing spend efficiency; Reverse ETL from product to SFDC.
 * Collaborate with stakeholders and GTM data scientists to understand business requirements and translate them into clear, actionable data outputs through effective data modeling.
 * Improve time to insight by preparing SSOT data models as a core input for analysis in Sigma, our preferred BI tool.
 * Optimize data pipeline systems from a variety of sources, ensuring data is accurate, timely, and consistent, Sample tools: hubspot, salesforce, talkdesk, marketing platforms. Make sure our Product / backend systems have a proper linkage with GTM systems.
 * Improve GTM data quality, sharing data integrity guidelines, highlighting current issues, and collaborating with different stakeholders on implementation of proper fixes.

Who you'll work with

 * This role reports to our Director of Data Analytics, Piotr Rosiak.
 * You will partner with data scientists, business analysts, and key stakeholders from related teams such as Rev-Ops, Sales, Marketing, Product, Finance.


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