Senior Data Analyst (Spot)

Role Overview

Senior Data Analyst (Spot) at Bybit, a cryptocurrency exchange and digital financial platform established in 2018, serving over 80 million users across more than 200 countries and regions.

Company Overview

Bybit is one of the world's leading cryptocurrency exchanges and digital financial platforms, recognized as one of the most trusted and transparent platforms in the digital asset industry. The company delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3. Powered by world-class technology and a user-first mindset, Bybit fosters a high-performance and fast-moving environment backed by a global team of ambitious builders, problem-solvers, and innovators, supported by 24/7 multilingual customer service.

Role Purpose

Own Business Intelligence analytics for Wealth/Earn and Trading Tools product lines, providing deep analytical insights into product performance, user behavior, and business metrics to support product strategy, growth initiatives, and cross-functional decision-making.

Key Responsibilities

Product Performance & Analytics

• 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.
• 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, automated trading features, and other trading tools; evaluate their impact on trading frequency, volume, retention, and revenue.

User Lifecycle & Funnel Analysis

• 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.
• 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.

Segmentation & Modeling

• 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.

Reporting & Dashboards

• 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.

Data Infrastructure & Quality

• 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.

Experimentation & Product Support

• Support product launches, campaigns, feature iterations, and A/B tests through pre-launch sizing, experiment design, performance measurement, and post-launch impact analysis.

Stakeholder Management & Strategy

• 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.

Qualifications & Experience

• 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.
• Fluent in English and Mandarin, both written and spoken.

Skills & Competencies

• 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, with the ability to move 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.

Additional Information

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.

Benefits

• Study Growth Fund: Support for professional development and continuous learning.
• Internal Events: Participation in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
• Global Collaboration: Part of a diverse, international team, working alongside colleagues from around the world.
• Career Advancement: Access to opportunities for growth and advancement within a rapidly expanding global company.
• Internal Mobility: Long-term development supported through internal job opportunities to help build your career path.