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Senior Data Analyst

Bengaluru

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Product R&D › Data Operations — team source
Department: Product R&D › Data Operations
From the employer’s posting
Apply at G2 Enterprises

What you’ll work on

Full posting

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.

Provide descriptive and diagnostic analysis to inform product and go-to-market decision-making, evaluate performance and make tactical recommendations

  • Run descriptive and diagnostic analysis to guide product and go-to-market decisions

  • Maintain and optimize core business dashboards and KPI reporting

  • Develop and maintain LookML views and explores in Looker

  • Build and maintain AI-powered tools and automations for self-service data access

  • Coach junior team members on complex datasets and business requirements

From the employer’s posting
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.
Provide descriptive and diagnostic analysis to inform product and go-to-market decision-making, evaluate performance and make tactical recommendations
Provide descriptive and diagnostic analysis to inform product and go-to-market decision-making
Maintaining, updating, and optimizing our core business dashboards is central to the role
Develop and maintain LookML views and explores in Looker
Build, maintain, and iterate on AI-powered skills, agents, and automations that expand self-service access to data for Sales, Vendor, and Marketing stakeholders
Provide guidance and coaching to jr. team members, helping them understand complex datasets/models/business requirements

What you’ll bring

All qualifications

Core experience

  • 4+ years experience in data analysis roles
  • Familiarity with web/conversion analytics tooling (e.g.
  • Experience designing dashboards and enabling self-serve analytics through Business Intelligence tooling (Looker, Amplitude, etc.)
  • Prior experience building AI agents, prompts, or LLM-powered internal tools is a good to have
  • Experience with relational database modeling and/or experience in building reporting layers within Business Intelligence tooling (tabular, multidimensional, etc.)
  • Experience in performing QA on complex SQL queries for bugs, optimization and performance

Preferred experience

  • Experience in User Generated Content (UGC) or in the software industry is preferred
Qualification wording
4+ years experience in data analysis roles
Familiarity with web/conversion analytics tooling (e.g. Google Analytics) is a plus
Experience designing dashboards and enabling self-serve analytics through Business Intelligence tooling (Looker, Amplitude, etc.)
Prior experience building AI agents, prompts, or LLM-powered internal tools is a good to have
Experience with relational database modeling and/or experience in building reporting layers within Business Intelligence tooling (tabular, multidimensional, etc.)
Experience in performing QA on complex SQL queries for bugs, optimization and performance
Experience in User Generated Content (UGC) or in the software industry is preferred

Tools in this posting

  • Python
  • R
  • SQL
  • Looker
  • Snowflake
  • PostgreSQL
Source — Tool mentions in context
- Experience in User Generated Content (UGC) or in the software industry is preferred - Statistical programming experience with R and/or Python for the purposes of solving holistic/undefined business questions is a plus - Familiarity with web/conversion analytics tooling (e.g. Google Analytics) is a plus
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. In This Role, You Will:
- 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 :
- Experience with relational database modeling and/or experience in building reporting layers within Business Intelligence tooling (tabular, multidimensional, etc.) - Adept with Postgres and SQL databases (strong understanding of various use cases of different joins within a relational database and CTE performance scripting) - Experience in performing QA on complex SQL queries for bugs, optimization and performance
- Adept with Postgres and SQL databases (strong understanding of various use cases of different joins within a relational database and CTE performance scripting) - Experience in performing QA on complex SQL queries for bugs, optimization and performance - Experience working in an agile environment with multiple stakeholder teams
- Exposure to building or maintaining AI-powered tooling, skills, or automations (e.g. LLM-based agents/scripts that enable self-service data access) is a strong plus - Hands-on experience with Looker (LookML) and Snowflake SQL / SV / syntax, DDL – required to build, maintain, and validate BI models and views - Desire to make an impact on the business, engage in interesting problems, and craft innovative solutions
- 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 :
- 4+ years experience in data analysis roles - Experience designing dashboards and enabling self-serve analytics through Business Intelligence tooling (Looker, Amplitude, etc.) - Experience with relational database modeling and/or experience in building reporting layers within Business Intelligence tooling (tabular, multidimensional, etc.)

About G2 Enterprises

G2 is the world's largest and most trusted software marketplace.

In the employer’s words · Read in context

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Live
First seen by us
Oct 9, 2026 · 21 days ago
Recorded sightings
24
Last seen by us
Oct 30, 2026

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Job description

View original posting ↗

About G2 - The Company

G2 is the world's largest and most trusted software marketplace. When you join G2, you’re joining the industry’s leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.

Now, we have joined forces with Capterra, SoftwareAdvice, and GetApp to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence.

And we are just getting started! We are setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI.

Does that sound exciting to you? Come join us as we try to reach our next PEAK!

About G2 - Our People

At G2, everything we are and what we do is grounded in our PEAK values— (Performance + Entrepreneurship + Authenticity + Kindness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other’s successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.

You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI and philanthropic work (like our G2 Gives program) because it encourages us all to be better people.

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.

In This Role, You Will:

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

  • Partner cross-functionally on AI/LLM-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

Problem Solving :

  • Lead team discussions and collaborate with technical and non-technical team members to solve business problems

  • Provide guidance and coaching to jr. team members, helping them understand complex datasets/models/business requirements

  • Identify opportunities to improve our reporting and additional data management tasks you discover in your analysis

  • Support and guide project-based work using analytic tools to produce datasets for analysis

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.

  • 4+ years experience in data analysis roles

  • Experience designing dashboards and enabling self-serve analytics through Business Intelligence tooling (Looker, Amplitude, etc.)

  • Experience with relational database modeling and/or experience in building reporting layers within Business Intelligence tooling (tabular, multidimensional, etc.)

  • Adept with Postgres and SQL databases (strong understanding of various use cases of different joins within a relational database and CTE performance scripting)

  • Experience in performing QA on complex SQL queries for bugs, optimization and performance

  • Experience working in an agile environment with multiple stakeholder teams

  • Ability to tell stories with data and convey insights – demonstrated through experience with presentations and cross-functional projects

  • Experience with A/B testing, product analytics or making data driven decisions

  • Comfortable using AI tools (e.g. Claude, ChatGPT) day-to-day to accelerate data analysis, QA, and documentation

  • Exposure to building or maintaining AI-powered tooling, skills, or automations (e.g. LLM-based agents/scripts that enable self-service data access) is a strong plus

  • Hands-on experience with Looker (LookML) and Snowflake SQL / SV / syntax, DDL – required to build, maintain, and validate BI models and views

  • Desire to make an impact on the business, engage in interesting problems, and craft innovative solutions

What Can Help Your Application Stand Out:

  • Experience in User Generated Content (UGC) or in the software industry is preferred

  • Statistical programming experience with R and/or Python for the purposes of solving holistic/undefined business questions is a plus

  • Familiarity with web/conversion analytics tooling (e.g. Google Analytics) is a plus

  • Prior experience building AI agents, prompts, or LLM-powered internal tools is a good to have

Our Commitment to Inclusivity and Diversity

At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here. 

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For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice before applying to this job.

How We Use AI Technology in Our Hiring Process
G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.

Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team.
For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice.

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Bengaluru

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