Senior Data Analyst (Spot)

About the Role
Join a dynamic team as a Business Intelligence Analyst focusing on Wealth and Trading Tools. In this role, you will take ownership of BI analytics for the Wealth/Earn and Trading Tools product lines, analyzing key metrics like product performance, user growth, engagement, retention, trading activity, AUM, and revenue. You will work collaboratively with cross-functional teams to drive product growth and improve user experiences across various platforms.

Key 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, identifying key drivers and growth opportunities.
• 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 the adoption and usage of products such as Trading Bots, Grid/DCA strategies, Copy Trading, and other automated trading features; evaluate their impact on trading frequency, volume, retention, and revenue.
• Build user segmentation and behavioral models to identify high-value users, potential adopters, cross-sell opportunities, and churn risks, supporting product targeting and lifecycle management.
• Evaluate cross-product user journeys between Wealth/Earn, Spot, Derivatives, and Trading Tools, identifying opportunities to improve asset activation, trading conversion, and overall user value.
• Build and maintain dashboards, automated reports, and monitoring frameworks for key product KPIs, enabling product and business teams to quickly identify performance changes and anomalies.
• 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, ensuring consistent definitions and reliable data across Wealth and Trading Tools products.
• Monitor data quality and investigate metric discrepancies across product, transaction, asset, and user datasets, working with Data Engineering and Product teams to resolve underlying issues.
• Partner closely with Product, Operations, Marketing, Finance, and Data Engineering teams to define business metrics, identify opportunities, and translate analytical findings into actionable product and growth strategies.
• Provide data-driven recommendations on product growth, user monetization, asset retention, trading engagement, and product portfolio optimization.

Required Qualifications

• 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, Power BI, or similar platforms.
• 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 and analytical frameworks.
• Strong analytical and problem-solving skills, capable of moving from data findings to clear business recommendations and product actions.
• High attention to detail with a strong commitment to data quality, metric consistency, and analytical accuracy.
• Ability to work independently and manage multiple analytical projects in a fast-paced, cross-functional 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, structured products, or other digital-asset wealth products.
• Experience with trading products or trading tools, such as Spot/Derivatives, Trading Bots, Grid Trading, DCA, Copy Trading, algorithmic trading, or automated trading strategies.
• Understanding of key trading metrics such as trading volume, frequency, liquidity, fees, PnL, strategy performance, and trader retention.
• Experience analyzing cross-product user behavior, particularly the relationship 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.

Why Join Us
At the company, we are committed to fostering a supportive and enriching work environment.
Our benefits include:

• Study Growth Fund: We support your professional development and continuous learning.
• Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
• Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
• Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
• Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.