Senior Data Analyst (Crypto)

Senior Data Analyst - VIP User Behavior

Conditions

Posted Date Jun 03, 2026 Employment Type Full-time Experience Level Mid-Senior level Location Apac Category ** Data Science ** Company **Bybit **

Senior Data Analyst - VIP User Behavior

Note: The role allows remote work at first and then relocation to UAE/Malaysia is required after probation. (Visa- sponsored)

About Us Established in March 2018, Bybit is one of the fastest growing cryptocurrency derivatives exchanges, with more than 70 million registered users. We offer a professional platform where crypto traders can find an ultra-fast matching engine, excellent customer service and multilingual community support. We provide innovative online spot and derivatives trading services, mining and staking products, as well as API support, to retail and institutional clients around the world, and strive to be the most reliable exchange for the emerging digital asset class. Our core values define us. We listen, care, and improve to create a faster, fairer, and more humane trading environment for our users. Our innovative, highly advanced, user-friendly platform has been designed from the ground-up using best-in-class infrastructure to provide our users with the industry's safest, fastest, fairest, and most transparent trading experience. Built on customer-centric values, we endeavour to provide a professional, 24/7 multi-language customer support to help in a timely manner. As of today, Bybit is one of the most trusted, reliable, and transparent cryptocurrency derivatives platforms in the space.

Key Responsibilities:

1. Analyze VIP user behavior across the full lifecycle — from tier qualification and upgrade/downgrade patterns to engagement, trading activity, and churn signals
2. Build and maintain dashboards and automated reports to track VIP program performance, Earn product metrics, and key user health indicators
3. Conduct deep-dive analyses on Earn product performance, including subscription/redemption flows, yield trends, asset allocation behavior, and user retention
4. Identify high-value user segments, model LTV, and provide data-driven recommendations to support VIP tier design, benefits optimization, and retention strategies Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
5. Monitor data quality and integrity across VIP and Earn systems, identifying and resolving metric discrepancies
6. Support business and product teams with ad-hoc data requests, A/B test analysis, and impact assessments for new features and campaigns
7. Develop and maintain data models and ETL pipelines for VIP and Earn-related datasets
8. Collaborate with cross-functional stakeholders — including product, marketing, and finance — to define metrics, align on data definitions, and standardize reporting
9. Provide actionable recommendations based on data findings to support user growth and monetization strategies

Required Qualifications:

1. Fluent in English and Mandarin (written and spoken)
2. 5+ years of experience in data analysis, business intelligence, or a related analytical role
3. Background in financial products, wealth management, membership/loyalty programs, or fintech required
4. Strong proficiency in SQL and at least one analytical programming language (Python or R) Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
5. Experience with BI/visualization tools (Tableau, Looker, Power BI, or similar)
6. Solid understanding of user lifecycle analysis — activation, retention, churn, and LTV modeling
7. Strong analytical thinking with the ability to translate complex data into clear, actionable insights
8. High attention to detail and commitment to data accuracy
9. Ability to work independently in a remote environment
10. Comfortable working across different time zones

Preferred Qualifications:

1. Familiarity with crypto financial products — staking, flexible/fixed Earn, DeFi yield mechanisms, or structured products
2. Experience analyzing high-value or tiered user programs (VIP, private banking, or loyalty tiers)
3. Experience with statistical analysis, forecasting, or machine learning techniques
4. Prior experience at a crypto exchange or digital asset platform

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