Senior Analyst, Analytics Engineering

Gong.ioSalt Lake City, UT
Hybrid

About The Position

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. 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.

Requirements

  • 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

Nice To Haves

  • experience with dbt
  • JavaScript knowledge

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

Benefits

  • medical, dental, and vision plans
  • Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
  • Mental Health benefits with covered therapy and coaching.
  • 401(k) program to help you invest in your future.
  • Education & learning stipend for personal growth and development.
  • Flexible vacation time to promote a healthy work-life blend.
  • Paid parental leave to support you and your family.
  • Company-wide recharge days each quarter.
  • Work from home stipend to help you succeed in a remote environment.
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