Analytics Engineer

Warp•Remote - New York, NY
•$180,000 - $210,000•Remote

About The Position

Warp is hiring an Analytics Engineer to join the data team. This role is at the center of how we understand our product, users, and business. You'll work across every function at Warp: product, engineering, growth, revenue, and go-to-market. Warp is a fast-growing AI developer tool. Our data footprint reflects that growth — we ingest telemetry from our apps and servers, LLM conversational data, transactional production databases, GTM pipelines, and a range of third-party sources. Your job is to turn that raw data into the reliable metrics and deep insights that drive real decisions. This isn't a role where you slot into an existing system. You'll own the data model, define how we measure what matters, and set the standard for how analytics gets done at Warp. That means building durable infrastructure and shipping high-impact analysis — often at the same time. If you want to shape how a company at scale thinks about its data from the ground up, this is that role.

Requirements

  • 6+ 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
  • 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

Nice To Haves

  • 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

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?

Benefits

  • Competitive salary, generous benefits, and meaningful equity
  • 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
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