Why This Job is Featured on The SaaS Jobs
This Senior Analyst role sits at a core SaaS inflection point: turning product, operational, and financial data into a governed warehouse that the wider analytics community can trust. The emphasis on Snowflake and dbt reflects how modern SaaS teams standardize metrics and definitions across functions, while the semantic layer and agent-oriented tooling signals an organization actively evolving how insights are produced and consumed.
For a long-term SaaS career, the value is in learning how analytics engineering scales beyond dashboards into platform thinking. Building testing, alerting, and governance creates durable skills in reliability and data quality, which are increasingly expected as SaaS companies operationalize analytics for decision-making. Partnering with Data Ops and Data Engineering also develops the cross-functional muscle needed to translate business questions into maintainable models and shared data contracts.
This position best fits someone who enjoys enabling other analysts through clear abstractions, documentation, and standards, not just solving one-off analyses. It will suit a practitioner comfortable balancing hands-on SQL work with system design choices, and who is motivated by making analytics more self-service and interpretable across a multi-stakeholder SaaS environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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
PERKS & BENEFITS
- We 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.
We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.
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.
To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.
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