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 https://company.g2.com/dei and philanthropic work (like our G2 Gives https://company.g2.com/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, leadership, and communication skills
Good understanding of software engineering principles and standards
Functionally understand ecommerce business processes, especially in the areas of customer transactions, ecommerce website experimentation and AB testing
Understanding of distributed computing and frameworks like Apache Spark, Hadoop, and Apache Kafka for handling large volumes of data is a plus
WHAT CAN HELP YOUR APPLICATION STAND OUT
Experience in data modeling, schema design, and optimizing data structures for performance in Snowflake
Experience building semantic layers or AI-ready data products
Working experience in startup environments
Experience with Agile process methodology, CI/CD automation, Test Driven Development
Experience in working with Google Analytics and/or Snowplow data
Knowledge of data governance, security, and compliance standards within cloud-based data solutions
Understanding of any reporting tools such as Tableau, Qlikview , Looker, PowerBI etc
Database administration background
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 https://culture.g2.com/commitments.
For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice https://legal.g2.com/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 https://legal.g2.com/applicant-privacy-notice.
