Analytics Engineer

Analytics Engineer (Data)

Own the data vertical at Warp and turn diverse raw data into reliable metrics and deep insights that drive product and business decisions.

Role overview

This is a full-stack data role spanning operations, infrastructure, and research across Warp’s business functions (product, engineering, growth, revenue, and go-to-market). You will own the data model, define measurement standards, and set the bar for how analytics is done.

Responsibilities

Operations

• Define, build, and visualize core product and business metrics
• Design and analyze A/B tests to measure impact of product changes
• Adapt data models to support new product features, pricing models, and business initiatives
• Partner with GTM teams on product-qualified leads, engagement measurement, and billing/revenue analytics

Infrastructure

• Build and maintain canonical data models as sources of truth
• Implement production ETL for new data sources and reverse-ETL to send data to downstream consumers
• Develop AI agents to automate parts of the data team’s workflows
• Establish data quality monitoring and reliability standards
• Build self-serve analytics tooling across the company

Research

• Conduct deep ad-hoc analysis on user behavior and business mechanics to uncover growth opportunities
• Investigate key questions (e.g., how Warp expands/usage grows)

Requirements

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Nice-to-haves

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