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G2 is the world's largest software marketplace, recently merged with Capterra, SoftwareAdvice, and GetApp to create the largest source of online data and software insights. With 200M+ combined annual visitors and 6M verified reviews, G2 is transforming the global B2B software industry and becoming the most trusted data foundation for buyers and sellers of software in the age of AI.
In this Senior Data Analyst role, you will combine strong SQL modeling and statistical skills to deliver actionable insights and enable others to efficiently access and leverage data in decision-making. You will maintain, update, and optimize core business dashboards while using AI-powered tools to accelerate analysis and expand self-service data access across the organization.
Key responsibilities include:
**Data Analysis and Modeling:** Provide descriptive and diagnostic analysis to inform product and go-to-market decision-making. Act as the G2 Data SME, discussing questions and hypotheses with internal and external customers. Develop effective data models to enable consistent data access across the organization. Partner with cross-functional stakeholders to translate business requirements into clean dataset transformations and structured analytics reports. Use AI tools like Claude/ChatGPT and Looker/Snowflake AI integrations to accelerate exploratory analysis, QA, and documentation.
**Data Visualization:** Use BI tools to empower end users with timely, accurate visualizations. Design dashboards to monitor KPIs and business drivers aligned with business strategy. Maintain documentation standards for every report and dashboard. Develop and maintain LookML views and explores in Looker with strong Snowflake SQL command (semantic views, joins, CTEs, query performance).
**AI-Powered Tooling & Automation:** Build, maintain, and iterate on AI-powered skills, agents, and automations that expand self-service data access for Sales, Vendor, and Marketing stakeholders. Partner cross-functionally on AI/LLM-enabled reporting initiatives. Evaluate and pilot new AI tools and workflows, documenting best practices.
**Problem Solving:** Lead team discussions and collaborate with technical and non-technical members to solve business problems. Provide guidance and coaching to junior team members. Identify opportunities to improve reporting and data management. Support project-based analytical work.
**Requirements:**
- 4+ years experience in data analysis roles
- Experience designing dashboards and enabling self-serve analytics through BI tooling (Looker, Amplitude, etc.)
- Experience with relational database modeling and/or building reporting layers within BI tooling
- Adept with Postgres and SQL databases with strong understanding of joins and CTE performance scripting
- Experience performing QA on complex SQL queries for bugs, optimization, and performance
- Experience working in agile environments with multiple stakeholder teams
- Ability to tell stories with data and convey insights through presentations and cross-functional projects
- Experience with A/B testing, product analytics, or making data-driven decisions
- Comfortable using AI tools (Claude, ChatGPT) day-to-day to accelerate analysis, QA, and documentation
- Hands-on experience with Looker (LookML) and Snowflake SQL/SV/syntax/DDL required
- Desire to make business impact and craft innovative solutions
**Preferred qualifications:**
- Experience in User Generated Content (UGC) or software industry
- Statistical programming with R and/or Python for solving business questions
- Familiarity with web/conversion analytics tooling (Google Analytics)
- Prior experience building AI agents, prompts, or LLM-powered internal tools
