Senior Analyst, Analytics Engineering

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. For more information, visit www.gong.io. 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. RESPONSIBILITIESDevelop 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 SnowflakeQUALIFICATIONS4+ years of experience in data engineering, analytics, or data scienceA 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 (Java Script 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 skillsPERKS & BENEFITSWe offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family's needs. 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. The annual salary hiring range for this position is $120,000 - $145,000 USD.Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.