Transform how your revenue team wins with AI✨

The Gong Revenue AI Operating System brings customer data, insights, and workflows together in one trusted place. 5,000+ companies rely on Gong to understand their business better, automate workflows, and win more.

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES:

Develop and maintain data models in Snowflake with dbt

Design and build a testing and alerting framework to improve data quality

Create data governance/democratization policies to support the broader analyst community

Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS:

4+ years of experience in data engineering, analytics, or data science

A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field

Advanced SQL knowledge (experience with dbt is a plus)

Moderate Python knowledge (JavaScript knowledge is a plus)

Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills