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Bybit is a leading cryptocurrency exchange and digital financial platform serving over 80 million users globally. The company offers trading, payments, wealth management, custody, institutional services, and Web3 solutions.
As a Senior Data Analyst (Business Intelligence) for Wealth & Trading Tools, you will own analytics across Bybit's Wealth/Earn and Trading Tools product lines. Your responsibilities include:
**Core Analytics Ownership:**
- Own BI analytics for Wealth/Earn and Trading Tools, tracking product performance, user growth, engagement, retention, trading activity, AUM, revenue, and key business metrics
- Analyze the full user lifecycle and product funnel (acquisition, activation, adoption, repeat usage, retention, churn, cross-product conversion) to identify growth drivers and opportunities
- Conduct deep-dive analyses on Wealth/Earn products including subscription/redemption flows, AUM growth, yield trends, asset allocation, user segmentation, retention, and profitability
- Analyze Trading Tools performance (Trading Bots, Grid/DCA strategies, Copy Trading, automated features) and their impact on trading frequency, volume, retention, and revenue
**Modeling & Insights:**
- Build user segmentation and behavioral models to identify high-value users, potential adopters, cross-sell opportunities, and churn risks
- Evaluate cross-product user journeys between Wealth/Earn, Spot, Derivatives, and Trading Tools to improve asset activation and user value
- Develop scalable data models, metric frameworks, and ETL pipelines ensuring consistent definitions across products
**Reporting & Support:**
- Build and maintain dashboards, automated reports, and monitoring frameworks for key product KPIs
- Support product launches, campaigns, feature iterations, and A/B tests through pre-launch sizing, experiment design, performance measurement, and post-launch analysis
**Requirements:**
- 5+ years of experience in data analytics, business intelligence, or product analytics
- Strong proficiency in SQL, Python, or R for data manipulation and analysis
- Experience with BI tools (Tableau, Looker, Power BI, or similar)
- Demonstrated expertise in product analytics, user funnel analysis, and cohort analysis
- Experience analyzing trading volume, frequency, liquidity, fees, PnL, strategy performance, and trader retention
- Experience analyzing cross-product user behavior, particularly relationships between asset holding, wealth products, and trading activity
- Experience with A/B testing, statistical analysis, forecasting, causal analysis, or machine learning techniques
- Prior experience at a crypto exchange, brokerage, trading platform, fintech company, or digital asset platform is highly preferred
