Senior Data Analyst
at G2
Bengaluru, senior, full time, 4+ years
posted 08 Oct 2026
- Amplitude
- Google Analytics
- A/B testing
- Claude
- Looker
- SQL
- R
- ChatGPT
- Snowflake
- Postgres
- LookML
- Python
About the role
You will combine strong SQL modeling and statistical skills with your unique experience to deliver actionable insights, make recommendations, and enable others to efficiently access and leverage data in decision making. Maintaining, updating, and optimizing our core business dashboards is central to the role. You will use AI-powered tools and, increasingly, build and maintain AI-driven tooling and automations to accelerate analysis and expand self-service data access across the organization. In addition to leading analytics projects, you will improve our communication of data through dashboards, reports and presentations.
What you would do
Data Analysis and Modeling
- Provide descriptive and diagnostic analysis to inform product and go-to-market decision-making, evaluate performance and make tactical recommendations
- Discuss questions and hypotheses with external and internal customers based on deep data analysis, acting as the G2 Data SME, and turn them into analysis and insights
- Develop effective data models to enable ease of access and consistency of data across the organization
- Partner with cross-functional stakeholders to translate business requirements/questions into clean dataset transformations and structured analytics reports
- Use AI tools (e.g. Claude/ChatGPT, Looker/Snowflake AI integrations) to accelerate exploratory analysis, QA, and documentation of findings
Data Visualization
- Use BI tools to empower end users with timely, accurate and informative data and visualizations
- Design dashboards to monitor KPIs and business drivers and ensure all metrics are consistent with business strategy
- Maintain documentation standards for every report and dashboard (purpose, refresh cadence, KPI definitions, data sources, support contact)
- Develop and maintain LookML views and explores in Looker, ensuring consistency and ease of data access across the organization; combined with strong command of Snowflake SQL (Semantic views, joins, CTEs, query performance) to build, validate and reason about the data underneath every view
AI-Powered Tooling & Automation
- Build, maintain, and iterate on AI-powered skills, agents, and automations that expand self-service access to data for Sales, Vendor, and Marketing stakeholders
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