Data Analytics Specialist

Summary

G2 is a software marketplace and data insights company serving software buyers and sellers. The Data Analytics Specialist will partner with product stakeholders to develop data-driven strategies, build data products and self-service analytics tooling, and deliver actionable recommendations through product analysis, experimentation, and data storytelling.

Responsibilities

• 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

Skills

• 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
• Experience with A/B testing or experimentation frameworks preferred
• Experience contributing to data governance initiatives a plus

Qualifications

Must Haves

• 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

Nice to Haves

• Experience with A/B testing or experimentation frameworks preferred
• Experience contributing to data governance initiatives a plus