Analytics Engineer

Warp is an AI developer tools company building an agentic development environment and cloud software factories. The Analytics Engineer will own data models, metrics, analytics infrastructure, and high-impact analysis across product, engineering, growth, revenue, and go-to-market functions.

Responsibilities:

• 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
• Partner with GTM teams to surface product-qualified leads, measure engagement, and support billing and revenue analytics
• 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
• Establish data quality monitoring and reliability standards
• Build tooling that enables self-serve analytics across the company
• Conduct deep ad-hoc analysis to understand user behavior, model business mechanics, and uncover growth opportunities
• Dig into questions like: How does Warp expand within companies? What is the optimal pricing structure? How do we identify potential enterprise leads? What characteristics of AI interactions drive churn?

Requirements:

• You have 6+ years of experience in an analytics-focused data role
• You're highly fluent in SQL and dbt on top of a modern warehouse like BigQuery, Snowflake, or Redshift
• You've built dashboards and visualizations with BI tools like Hex, Looker, Mode, Tableau, or Metabase
• You care deeply about the business decisions your data informs—not just building the pipelines behind them
• You balance business intuition with an engineering mindset: writing efficient, scalable queries; thinking about cost and compute across the data stack; and working with version control, CI/CD, and testing
• You have a bias for action and are comfortable operating with autonomy—you can identify opportunities across the company and proactively build solutions
• You're an effective and creative communicator who can translate complex analysis into actionable insights for stakeholders with varying levels of data fluency
• You're deeply curious—when a metric moves unexpectedly, you dig until you understand why
• You've integrated AI into your daily workflows; at Warp we lean heavily on agents to accelerate and automate our work
• Experience with the GCP data stack (GCS, BigQuery, Dataflow, Dataproc)
• Production-grade experience with Python
• Experience on a data team at an early-stage startup
• Familiarity with Warp's platform