Senior Analytics Engineer

g2; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

G2 is hiring a Senior Analytics Engineer to operate at the intersection of business, analytics and engineering. You will own transforming raw data into strategic insights, partnering with cross-functional teams to build AI-ready data architectures and scalable modeling solutions.

You will lead data pipeline and modeling initiatives, ensuring data accuracy, security, and cost efficiency while mentoring other team members on best practices.

Qualifications

• 6+ years of experience implementing enterprise data solutions.
• 3+ years of experience using ETL/data pipeline and orchestration tools (dbt, Airflow, Airbyte, Glue, Prefect).
• 2+ years of hands‑on experience in data modeling, optimization and database architecture.
• Extensive experience in writing, debugging, and tuning SQL queries.
• Strong programming experience in Python or Java.

Responsibilities

• Design, develop, and maintain robust DBT data pipelines and data models to support buyer experience, experimentation and ecommerce tracking.
• Build resilient and auto-recoverable data pipelines for data transformations subject to strict SLAs, performance expectations and data quality standards.
• Collaborate with stakeholders to translate business OKRs into technical solutions.
• Document and maintain the data catalog to enable data democratization and governance.
• Mentor and guide other data platform associates with solutioning and best practices adoption.

Skills

SQL proficiency

Python/Java

Data problem solving

Tools

dbt

Airflow

Airbyte

Glue

Prefect

Job description

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- ( P erformance + E ntrepreneurship + A uthenticity + K indness. 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

G2 is looking for a Senior Analytics Engineer who will be operating at the intersection of business, analytics and engineering. The Senior Analytics Engineer plays a pivotal role in converting raw information into strategic insights and product features. In this role, you will partner with cross-functional stakeholders and technical departments to translate complex analytical requirements into sustainable, AI-ready data architectures and modeling solutions. By taking full ownership of sophisticated transformation designs and data modeling, you will fundamentally shape G2's data environment, ensuring our assets remain scalable, reliable, and perfectly tuned for diverse organizational needs. This role is designed for a professional who excels through proactive initiative, technical mastery, and a commitment to continuous discovery.

In This Role, You Will:

Data Modeling & Pipeline Development

• Design, develop, and maintain robust DBT data pipelines and data models to support buyer experience, experimentation and ecommerce tracking
• Build resilient and auto-recoverable data pipelines for data transformations subject to strict SLAs, performance expectations and data quality standards
• Optimize data pipelines and debug analytical use cases and data quality issues.
• Develop data models following best practices and industry standards

Collaboration & Stakeholder Engagement

• Functionally understand ecommerce business processes especially in the areas of customer transactions, ecommerce website experimentation and AB testing
• Collaborate with stakeholders to translate business OKRs into technical solutions

Data Governance & Security

• Document and maintain the data catalog to enable data democratization and governance
• Define semantic views with clear business context and metadata to enable AI-ready, self-service data consumption
• Ensure data security, compliance, and cost efficiency across environments.

Leadership & Mentoring

• Mentor and guide other data platform associates with solutioning, code reviews and best practices adoption.

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.
• 6+ years of experience in implementing enterprise data solutions
• 3+ years of experience using ETL/data pipeline and orchestration tools (dbt, Airflow, Airbyte, Glue, Prefect etc)
• 2+ years of hands‑on experience in data modeling, optimization and database architecture.
• Extensive experience in writing, debugging, and tuning SQL queries
• Strong programming experience in Python or Java
• Good understanding of the AWS data services (DynamoDB, RDS, Data Pipeline, EMR, Lambda, Glue, ECS, etc.) and cloud data warehouses like Snowflake
• Must have good knowledge of performance tuning, optimization and debugging of data pipelines
• Experience with enterprise data and business intelligence platforms serving large-scale enterprise deployments
• Proven track record of leading and delivering complex data projects within cloud environments
• Good problem-solving, leadersh