Analytics Engineer

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.