Analytics Engineer

Why this role?

We’re hiring the second member of our data team, reporting to the Data Lead. This is an opportunity to help lay data foundations for a fast growing AI devtool company. Our data challenges are diverse and evolving quickly; we work w/ user telemetry from apps and servers, LLM interaction data, transactional production databases, revenue data, and marketing and sales tooling. The data team is tasked with ingesting and processing all of this data, and transforming it into valuable insights to grow the business. As Warp’s product and business grow, our small but mighty data team faces a tough challenge: juggling urgent analytics requests from around the company while also building for the future.

As an Analytics Engineer, you will…

This is a “full stack” data role, moving up and down the data stack, and traversing the breadth of Warp’s business and product teams, with work being allocated across three pillars:

1. Operations:

• Building and visualizing business/product metrics across charts and dashboards

• A/B experiment design and analysis

• Adapting dbt models for new product features, business lines, etc

• Forecasting growth

2. Foundational infrastructure:

• Defining core data models that serve as flexible sources of truth for downstream analysis and charting

• Building data quality monitoring frameworks

• Building tooling to enable self-serve analytics

• Writing ETL to integrate new classes of data, and reverse ETL to share warehouse sources of truth with downstream GTM tools

3. Research:

• One-off data research projects to deepen our understanding of user behavior and to uncover levers for growth in the product (how does Warp grow within companies? What does the path to upgrade look like? How to optimize pricing? How to flag enterprise leads? What do power users do differently?)

You may be a good fit if…

• 2+ years of experience in an analytics-oriented data role

• Expert fluency in SQL & dbt, on top of a modern warehouse like BigQuery, Redshift, or Snowflake

• Experience with a data visualization tool such as Looker, Mode, Tableau (we use Metabase)

• You’re excited to step beyond the role of a traditional “data analyst” and put on an engineering hat:

  • Writing performant queries

  • Optimizing cost and compute across our data stack

  • Building pipelines to move data in and out of our data warehouse

  • You’re familiar w/ the basics of an engineering workflow (command line, version control, CI/CD, writing tests, etc)

• You have a bias for action and thrive with autonomy in your work

• You’re an effective and creative communicator; you’ve done deep ad-hoc data research, and translated your findings into actionable strategic insights for fine-tuning a product

• You’re insatiably curious; when you see an anomaly in a business metric, you can’t help but dig until you find the root cause

• You take pride in your craft; you think about the readability of code, and you care about simple and effective data visualization

Bonus points for:

• Real world experience with Python

• Familiarity with the GCP data stack (GCS, BigQuery, Dataflow, Dataproc)

• Experience processing unstructured data and natural language w/ distributed systems like Spark/PySpark or Databricks

• Experience on a data team at an early stage startup

Salary Transparency

Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity.

When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you’d like to be paid, the skills and level of experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The budgeted compensation amount for this role is targeted at $165,000 - $175,000.