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Director, Data Analytics

Leads an embedded analytics organization supporting growth, product, markets, finance, risk, and institutional functions. The role requires 10+ years in analytics or data science, 4+ years managing teams, expert SQL, strong statistical judgment, and executive-level stakeholder partnership.

About the job

Responsibilities

  • Lead, hire, and develop a team of embedded analysts and data scientists across growth, product, markets, finance, risk, and institutional.
  • Own the analytical standard for rigorous, decision-ready analysis with clear assumptions.
  • Partner with business leaders to set analytical agendas and prioritize high-impact work.
  • Build shared craft across a distributed team through review practices, experimentation standards, and knowledge sharing.
  • Partner with data platform leadership on the metrics layer to maintain consistent definitions and graduate recurring analyses into modeled datasets.
  • Own company-level reporting and the metrics shared with the board and investors.
  • Develop analysts into senior individual contributors and future leaders.

Requirements

  • 10+ years of experience in analytics or data science.
  • 4+ years managing analysts or data scientists.
  • Expert SQL skills.
  • Statistical grounding sufficient to review experiment designs and causal claims.
  • Experience running an embedded or matrixed analytics team.
  • Credibility with senior business stakeholders and ability to challenge decisions with evidence.
  • Track record of developing analysts, including promoting people and managing performance.
  • Strong prioritization skills across competing functional demands.
  • Experience hiring and building a team.
  • Comfortable operating in a fast-moving environment where business logic changes frequently.

Nice-to-haves

  • Experience with experimentation design, causal inference, or predictive modeling.
  • Experience in a marketplace, exchange, or trading business.
  • Experience in fintech, crypto, prediction markets, or other data-intensive financial products.

Compensation and Benefits

  • Competitive salary and equity.
  • Unlimited paid time off.
  • Full health, vision, and dental coverage.
  • 401(k) match.
  • Hardware setup including a new MacBook Pro, display, and accessories.

Skills

SQL, Data Science, Statistical Analysis, Experimentation Design, Causal Inference, Predictive Modeling, Data Analytics, Metrics Layer, Data Modeling, Analytics Strategy

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