Analytics Engineer

Warp is a fast-growing AI developer tool company that is seeking an Analytics Engineer to join their data team. The role involves transforming raw data into reliable metrics and insights to understand product usage and business growth.

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:

• 4+ years of experience in an analytics-focused data role
• Highly fluent in SQL and dbt on top of a modern warehouse like BigQuery, Snowflake, or Redshift
• Built dashboards and visualizations with BI tools like Hex, Looker, Mode, Tableau, or Metabase
• Care deeply about the business decisions your data informs—not just building the pipelines behind them
• 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
• Have a bias for action and are comfortable operating with autonomy—you can identify opportunities across the company and proactively build solutions
• Effective and creative communicator who can translate complex analysis into actionable insights for stakeholders with varying levels of data fluency
• Deeply curious—when a metric moves unexpectedly, you dig until you understand why
• 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