Responsibilities:

📍Define and monitor KPIs to guide product performance, trading activity, and user growth 📍Analyze user behavior, trading patterns, and price sensitivity to uncover product opportunities 📍Conduct market liquidity analysis, helping teams optimize depth, spreads, and order book health 📍Collaborate on event tracking, data quality, and experimentation frameworks with data engineering and platform teams

Requirements:

📍4+ years of experience in product analytics, sports analytics, or quant/data science roles 📍Proficient in Python, SQL, and experienced with data visualization tools (e.g., Tableau, Databricks, Looker, Mixpanel) 📍Familiarity with A/B testing and product experimentation frameworks 📍Knowledge of and interest in sports 📍Experience in market liquidity analysis – including depth, spread, execution quality, and market-making behavior 📍Comfortable challenging assumptions, influencing cross-functional stakeholders, and owning the narrative with data 📍Self-starter with a proactive mindset

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