Senior Analytics Engineer

Polymarket is looking for a Senior Analytics Engineer to own the modeling layer that sits between our raw data and the decisions the business makes with it. You'll join a small, high-ownership team, working alongside our data engineers and data scientists to turn raw trading and application data into the clean, well-defined models and metrics that everyone from growth to finance to market operations builds on.

Responsibilities

Design and build the dbt models that turn raw platform, on-chain / off-chain trading activity, and third-party data into trusted, well-documented datasets; Own the definitions of our core metrics including volume, traders, retention, acquisition cost, revenue, etc, so that a number means the same thing in every dashboard and every conversation; Partner closely with data engineers on the warehouse layer, including materialized views, incremental models, query performance, and cost; Build and maintain reporting in homegrown Vercel dashboards and Hex that growth, marketing, finance, and markets teams can use self-serve insights; Work directly with stakeholders to translate open-ended questions into models that answer them durably, rather than one-off queries; Write tests and monitoring at the model layer so data quality issues surface before someone finds them in a board deck; Model new products and market types as they launch, keeping the semantic layer in step with a business that changes weekly; Write end-to-end documentation that’s clear and thorough enough that any engineer or analyst on the team can context-switch into your models without friction

Requirements

7+ years of experience in analytics engineering, data analytics, or a similar role, with production experience owning a modeling layer; Expert SQL; Hands-on experience with dbt or equivalent, Airflow or other orchestration solutions, and a modern cloud warehouse such as Databricks, Snowflake, BigQuery, or ClickHouse; Strong instincts for dimensional modeling and metric design, including the judgment to know when to denormalize; Fluency with BI tooling such as Hex, Looker, or similar, and a bias toward building for self-serve over fulfilling one-off requests; Enough software engineering fundamentals to work comfortably in version control, review others' code, and keep a project maintainable; Genuine interest in the business; Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace

Nice to have

Familiarity with on-chain data or blockchain analytics; Experience in fintech, crypto, prediction markets, or other data-intensive financial products

Benefits

Competitive salary & equity; Unlimited PTO; Full Health, Vision, & Dental coverage; 401k match; Hardware setup: new MacBook Pro, big display, & accessories