About the role
About Polymarket Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We're growing fast, both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.
About
the Role Polymarket's Marketing team owns growth, acquisition, and retention — we move fast and make decisions based on data. As our Growth Data Analyst, you'll own the data layer for everything marketing touches: building dashboards, writing queries, and shipping tools that help
the team operate effectively. You'll pick up tasks with minimal context and deliver with limited oversight. If you want a direct line to business outcomes, keep reading.
What You'll Do Write SQL queries to pull, monitor, and QA core growth and acquisition metrics across the marketing funnel. Build and maintain dashboards in Hex that give the marketing team a clear, current view of performance. Add new data components to React-based dashboards Design and ship reporting tools and data views tailored to the Affiliate and Premier teams' day-to-day workflows Use Python to clean, transform, and analyze datasets that inform growth strategy and channel performance. Translate data findings into clear takeaways that help the marketing team make faster, better decisions.
What We're Looking For Strong, proven SQL skills. You can write complex queries, optimize them, and debug someone else's without much guidance. Hands-on Python experience used in a real professional or project setting for data cleaning, transformation, or analysis. Experience building dashboards or reporting tools that other people actually used and relied on. Ability to work independently. You can take an ambiguous request, define what done looks like, and ship it. Comfort working in or around a codebase. You don't need to be a full-stack engineer, but adding components to a React app shouldn't stop you cold. (Plus) Degree or graduate study in data science or analytics (Plus) Experience with Hex or a similar notebook-based BI tool. (Plus) Background in marketing tech, growth analytics, or working with acquisition and retention data. (Plus) Familiarity with marketing data concepts like attribution, funnel analysis, or LTV modeling.
