3-5 years in product analytics with ownership of core product metrics
Strong proficiency in SQL
Experience with at least one BI tool like Looker or Tableau
Working knowledge of Python and/or R for analysis
Familiar with AI workflows and agentic data products
Strong communication skills for translating analysis
Self-motivated and collaborative with project ownership experience
Responsibilities
Design and build data products for actionable insights
Develop AI agents for self-service data access
Own key OKRs through data-led initiatives
Improve data quality and governance practices
Lead exploratory analyses for product partners
Maintain BI infrastructure in Looker and Amplitude
Act as a data thought partner to product teams
Benefits
Supportive team environment focused on collaboration
Access to modern data stack and tools
Opportunities to lead impactful data initiatives
Focused on improving the buyer experience and product quality
Encouragement for self-starters to drive projects
Full Job Description
About The Role
The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer experience and reviews platform. In this role, you'll partner closely with product stakeholders to develop data-driven strategies that improve the product and deliver measurable outcomes. You'll also drive self-service initiatives, giving end users direct access to insights through dashboards and MCP-powered tooling. Day-to-day, you'll work across a modern data stack including Looker, Snowflake, Amplitude, Python, and R, applying experimentation frameworks and data storytelling techniques to turn complex analysis into clear, actionable recommendations.
In This Role, You Will:
Design and build data products that generate actionable insights for both internal stakeholders and external customers
Develop and deploy AI agents and MCP-powered tooling to enable self-service access to data across the organization
Own and contribute to key OKRs through data-led initiatives, partnering closely with Product Leadership and cross-functional teams
Improve data quality, documentation, and governance practices to ensure the data layer is accurate, trusted, and AI-ready
Lead exploratory and ad-hoc analyses for product and leadership partners, synthesizing complex data into clear, decision-ready recommendations
Build and maintain BI infrastructure in Looker and Amplitude, including dashboards, explores, and self-service reporting layers
Act as a data thought partner to product teams, proactively surfacing insights, flagging risks, and shaping strategy through a data lens
Minimum Qualifications:
We realize applying for jobs can feel daunting at times. Even if you don't check all the boxes in the job description, we encourage you to apply anyway.
3-5 years in product analytics, including direct experience defining and owning core product metrics end to end
Strong proficiency in SQL
Experience with at least one BI tool (Looker, Tableau, Power BI, Sigma, etc.)
Experiences working with Python and/or R for analysis and automation in a production environment
Familiarity with AI workflows, LLM tooling, or agentic data products
Strong written and verbal communication skills, with the ability to translate complex analysis into clear recommendations for non-technical stakeholders
Self-motivated and collaborative, with a track record of owning projects end-to-end
What Can Help Your Application Stand Out:
Experience with A/B testing or experimentation frameworks preferred
Experience contributing to data governance initiatives a plus
About G2
G2 is a software company that provides a platform for business software reviews and ratings. The company was founded in 2012 and is headquartered in Chicago, Illinois. G2's platform allows users to read and write reviews of business software products, as well as compare products based on user ratings and other factors. The company has over 1 million reviews on its platform and serves over 5 million business professionals each month.
