Job Description

About PolymarketPolymarket is the world's fastest growing 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 quickly, both in terms of volume ($115B traded to date) 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 RolePolymarket is hiring a Director of Data Analytics to lead the team that turns data into decisions across the company. You'll lead our embedded analytics organization, including analysts and data scientists aligned to growth, product, markets, finance, risk, and institutional, ensuring every team has trusted insights to make better decisions.You'll define the analytics strategy, establish a high bar for rigor, and build a high performing organization that partners closely with leaders across the business. The team is responsible for uncovering opportunities, measuring impact, and helping shape the company's most important decisions. Success requires balancing deep partnership with individual teams while maintaining consistent definitions, analytical standards, and best practices across the organization.This is a hands-on leadership role. You'll work closely with business leaders to frame the right questions, guide complex analyses, and translate data into clear recommendations that influence strategy. As Polymarket continues to launch new products and enter new markets, you'll build an analytics function that helps the company move faster, make smarter decisions, and create lasting competitive advantage.What You'll DoLead, hire, and develop a team of embedded analysts and data scientists across growth, product, markets, finance, risk, and institutionalOwn the analytical standard including what makes an analysis rigorous, decision-ready, and honest about its assumptionsPartner with business leaders to set each function's analytical agenda, so your team works on what matters rather than on what was asked most loudlyProtect the embedded model. Analysts own outcomes inside their teams, not staffing a ticket queueBuild shared craft across a distributed team through review practices, experimentation standards, and a way for good work to travel between verticalsPartner with data platform leadership on the metrics layer, so definitions stay consistent and recurring analyses graduate into modeled datasets instead of living in notebooksOwn the analytics leadership sees, including company-level reporting and the numbers that go to the board and to investorsDevelop analysts into senior individual contributors and future leads, and be straight with people about where they standWhat We're Looking For10+ years in analytics or data science, including 4+ years managing analysts or scientistsExpert SQL, and enough statistical grounding to review an experiment design or a causal claim and catch what is wrong with itExperience running an embedded or matrixed analytics team, and a clear point of view on where that model breaks downCredibility with senior business stakeholders — you can push back on an executive with evidence and keep the relationship intactA track record of developing analysts, including promoting people and managing others out when it was the right callStrong prioritization instincts across functions with genuinely competing demands and no obvious tiebreakerA hiring track record — you have built a team, not only inherited oneComfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace(Plus) Data science depth — experimentation design, causal inference, or predictive modeling(Plus) Experience in a marketplace, exchange, or trading business where analytics sits close to the economics(Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial productsBenefitsCompetitive salary & equityUnlimited PTOFull Health, Vision, & Dental coverage401k matchHardware setup: new MacBook Pro, big display, & accessoriesPay Transparency Base salary range: $400,000 to $500,000 annually, plus equity and benefits.This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.Compensation Range: $400K - $500KLocationNew YorkEmployment TypeFull timeLocation TypeOn-siteDepartmentDataCompensation$400K – $500K

Job Tags

Similar Jobs