G

G2

Marketplace for software reviews and insights

Senior Data Analyst

Business IntelligenceConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 4 years of experience in data analysis roles.
  • Experience designing dashboards and enabling self-service analytics through business intelligence tools such as Looker or Amplitude.
  • Experience with relational database modeling and/or building reporting layers within business intelligence tools, including tabular or multidimensional models.
  • Proficiency with Postgres and SQL databases, including understanding use cases for relational database joins and common table expression performance scripting.
  • Experience performing quality assurance on complex SQL queries for bugs, optimization, and performance.
  • Experience working in an agile environment with multiple stakeholder teams.
  • Ability to communicate insights through data storytelling, presentations, and cross-functional projects.
  • Experience with A/B testing, product analytics, or data-driven decision-making.
  • Comfort using AI tools such as Claude or ChatGPT to accelerate data analysis, quality assurance, and documentation.
  • Hands-on experience with Looker LookML and Snowflake SQL, semantic view syntax, and data definition language, required to build, maintain, and validate business intelligence models and views.

Responsibilities

  • Provide descriptive and diagnostic analysis to inform product and go-to-market decisions, evaluate performance, and make tactical recommendations.
  • Discuss questions and hypotheses with external and internal customers using deep data analysis, act as the G2 data subject matter expert, and turn questions into analysis and insights.
  • Develop effective data models to enable easy and consistent data access across the organization.
  • Partner with cross-functional stakeholders to translate business requirements and questions into clean dataset transformations and structured analytics reports.
  • Use AI tools, including Claude, ChatGPT, and Looker or Snowflake AI integrations, to accelerate exploratory analysis, quality assurance, and documentation of findings.
  • Use business intelligence tools to provide end users with timely, accurate, and informative data and visualizations.
  • Design dashboards to monitor key performance indicators and business drivers, and ensure metrics align with business strategy.
  • Maintain documentation standards for every report and dashboard, including purpose, refresh cadence, KPI definitions, data sources, and support contact.
  • Develop and maintain LookML views and explores in Looker, and use Snowflake SQL—including semantic views, joins, common table expressions, and query performance work—to build, validate, and reason about underlying data.
  • 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- and large language model-enabled reporting initiatives, owning the data and technical build.
  • Evaluate and pilot new AI tools and workflows, and document best practices for the wider analytics team.
  • Lead team discussions and collaborate with technical and non-technical team members to solve business problems.
  • Guide and coach junior team members to help them understand complex datasets, models, and business requirements.
  • Identify opportunities to improve reporting and perform additional data management tasks discovered through analysis.
  • Support and guide project-based work using analytical tools to produce datasets for analysis.

Desired Qualifications

  • Experience in user-generated content or the software industry.
  • Statistical programming experience with R and/or Python to solve holistic or undefined business questions.
  • Familiarity with web and conversion analytics tools such as Google Analytics.
  • Prior experience building AI agents, prompts, or large language model-powered internal tools.
  • Exposure to building or maintaining AI-powered tooling, skills, or automations, such as large language model-based agents or scripts that enable self-service data access.

About the Company

G2

Marketplace for software reviews and insights

G2 runs the largest tech marketplace for software, helping businesses discover, review, and manage software solutions. It gathers verified user reviews and market data to provide insights, market intelligence, and buyer intent information that support data-driven decisions. The platform earns revenue through subscription-based content marketing, licensing G2 Reports, and marketing solutions that drive demand and capture leads, plus specialized tools for marketing, sales, and services teams. Unlike many competitors, G2 combines a broad, trusted repository of reviews with actionable market data and lead-generation capabilities to cover the full software purchasing journey. The company aims to help organizations choose the right software and optimize their software investments, enabling teams to work more effectively and reach their goals.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$257.6M
Headquarters
Chicago, IL
Founded
2012

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