Analytics Engineer at Warp

At Warp, we are reimagining the command line to create a more intuitive, collaborative, and intelligent experience for developers. We are building a generational company that prioritizes high-quality, thoughtful products over the antiquated, mediocre tools that have dominated the industry for decades. As we continue to grow, we are looking for a second member to join our data team and help us build the foundational infrastructure that will drive our business forward.

Key outcomes

• Develop and visualize essential business and product metrics through dashboards and charts.
• Design and analyze A/B experiments to optimize product performance.
• Maintain and adapt dbt models to support new features and business lines.
• Create core data models that serve as a reliable source of truth across the organization.
• Establish frameworks for data quality monitoring and self-serve analytics.
• Build and manage ETL and reverse ETL pipelines to integrate data across our warehouse and GTM tools.
• Conduct deep-dive research projects to uncover insights into user behavior, growth levers, and enterprise lead identification.
• Forecast growth and provide strategic insights to inform product and business decisions.

Requirements

• At least 2 years of experience in an analytics-oriented data role.
• Expert-level fluency in SQL and dbt, with experience working on modern data warehouses like BigQuery, Redshift, or Snowflake.
• Proficiency with data visualization tools such as Metabase, Looker, Mode, or Tableau.
• A strong engineering mindset, including experience with version control, command line tools, CI/CD, and writing tests.
• Ability to write performant queries and optimize compute costs across the data stack.
• A bias for action and the ability to thrive in an autonomous, fast-paced environment.
• Excellent communication skills with a proven ability to translate complex data findings into actionable business strategy.
• Strong curiosity and a meticulous approach to identifying the root causes of anomalies.

Preferred qualifications

• Practical experience using Python.
• Familiarity with the GCP data stack, including GCS, BigQuery, Dataflow, and Dataproc.
• Experience processing unstructured data or natural language using distributed systems like Spark, PySpark, or Databricks.
• Previous experience working on a data team within an early-stage startup environment.

Compensation

The budgeted salary for this position is $165,000 to $175,000. In addition to a competitive base salary, we provide meaningful equity in the company with a four-year vesting schedule. Our benefits package includes:

• Comprehensive medical, dental, and vision insurance.
• 401k retirement plan.
• Flexible remote-first work environment.
• 20 days of paid time off, unlimited sick time, and 12 US holidays.
• 16 weeks of paid parental leave.
• Monthly stipends for gym memberships and internet costs.
• Complimentary OneMedical membership.
• Pre-tax commuter and FSA health savings benefits.
• Regular company retreats.

How to apply

If you are passionate about building the future of developer tools and thrive in a data-driven environment, we would love to hear from you. Please reach out to our team to express your interest and share your background with us.