Analytics Engineer

Operations:

• Define, build, and visualize core product and business metrics
• Design and analyze A/B experiments to measure the impact of product changes
• Adapt data models to support new product features, pricing models, and business initiatives

Infrastructure:

• Build and maintain canonical data models that serve as reliable sources of truth
• Write production ETL to ingest new data sources and reverse-ETL to push data to downstream consumers
• Develop AI agents to automate pieces of the data team’s workflows

Research:

• Conduct deep ad-hoc analysis to understand user behavior, model business mechanics, and uncover growth opportunities
• How does Warp expand within companies?
• What is the optimal pricing structure?