Senior Data Analyst (Spot)

Responsibilities

• Own BI analytics for Wealth/Earn and Trading Tools product lines, covering product performance, user growth, engagement, retention, trading activity, AUM, revenue, and other key business metrics.
• Analyze the full user lifecycle and product funnel, including acquisition, activation, product adoption, repeat usage, retention, churn, and cross-product conversion.
• Conduct deep-dive analyses on Wealth/Earn products, including subscription and redemption flows, AUM growth, yield trends, asset allocation, user segmentation, retention, and product profitability.
• Analyze Trading Tools performance, including adoption and usage of products such as Trading Bots, Grid/DCA strategies, Copy Trading, and automated trading features.
• 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.
• 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 impact analysis.
• Develop and maintain scalable data models, metric frameworks, and ETL pipelines.
• Monitor data quality and investigate metric discrepancies.
• Partner with Product, Operations, Marketing, Finance, and Data Engineering teams to translate analytical findings into actionable strategies.
• Provide data-driven recommendations on product growth, user monetization, asset retention, and trading engagement.

Requirements

• Fluent in English and Mandarin, both written and spoken.
• 5+ years of experience in Business Intelligence, Data Analytics, Product Analytics, or a related analytical role.
• Experience in fintech, financial services, trading platforms, wealth management, brokerage, or digital assets.
• Strong proficiency in SQL and at least one analytical programming language such as Python or R.
• Hands-on experience with BI and visualization tools such as Tableau, Looker, or Power BI.
• Strong understanding of product and user lifecycle analytics, including funnel analysis, activation, retention, churn, cohort analysis, segmentation, and LTV.
• Ability to analyze complex financial or trading products and translate product mechanics into measurable KPIs.
• Strong analytical and problem-solving skills.
• High attention to detail with a strong commitment to data quality and analytical accuracy.
• Ability to work independently and manage multiple projects in a fast-paced environment.
• Comfortable collaborating with stakeholders across different regions and time zones.

Preferred Qualifications

• Familiarity with crypto financial products, including flexible/fixed Earn, staking, on-chain yield, and structured products.
• Experience with trading products or trading tools, such as Spot/Derivatives,