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[Remote] Analytics Engineer

Remote · Saudi Arabia Full-time

Note: The job is a remote job and is open to candidates in USA. 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?

Skills

  • 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

Benefits

  • Meaningful equity in the company, with a four-year vesting period and one-year cliff
  • 100% coverage on medical, dental, and vision benefits for employees (80% coverage for dependents)
  • A flexible remote-first culture, with optional office spaces in NYC and SF for folks who want to work together IRL
  • Pre-tax FSA and Health Savings Plans
  • Pre-tax Commuter Benefit
  • 12 company holidays, 20 days of Paid Time Off, and unlimited sick time
  • 16 weeks of paid Parental Leave for both birthing and non-birthing parents
  • Twice-a-year all company retreats in awesome locations
  • A monthly gym and internet stipend
  • A company-sponsored 401(k)
  • A complimentary OneMedical membership

Company Overview

  • Warp is a developer of a Rust-based coding terminal designed to make teams productive at coding and application development. It was founded in 2020, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is https://www.warp.dev.
  • Company H1B Sponsorship

  • Warp has a track record of offering H1B sponsorships, with 1 in 2023, 2 in 2022, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.
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