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Bybit

Senior Data Analyst

Abu Dhabi, UAE; Kuala Lumpur, Malaysia; Abu Dhabi; Kuala Lumpur Tech OfficeUnited Arab Emirates
Senior · Business Intelligence
POSTED 2 OCTVERIFIED 1D AGO
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Open for
35d
closes ~62d here
Hiring · 30d
154
+1 net · open roles
PythonRuby/RailsSQL

About Us

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.

Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.

Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

Key Responsibilities

Own end-to-end analytics for the fiat business line — P2P, One-Click Buy (credit card / balance / money deposit), fiat Spot pairs, and fiat FTD — covering conversion funnels, corridor-level user behavior, and revenue structure

Build and maintain dashboards and automated reporting to track fiat OKR metrics

Analyze fiat revenue composition end to end — trading fees, spread, and hedging PnL — and construct full-chain revenue models from gross revenue through channel cost and hedging cost to net revenue

Monitor fiat liquidity supply and demand: order-book depth and spread by currency, maker/taker supply structure, and competitive benchmarking against other exchanges and local platforms

Evaluate payment channel and P2P partner performance — conversion, cost, failure reasons, settlement reconciliation — and support commercial negotiations with data

Deliver data support for regional entities and regulatory requirements, where accuracy standards are externally auditable

Build operational monitoring for fiat workflows: order/ticket SLA and aging metrics, queue and pending-stage breakdowns, and anomaly alerting

Support product, operations, regional, compliance, and finance teams with ad-hoc analysis, pre/post-launch impact assessment, and A/B or quasi-experimental evaluation of pricing and fee changes

Provide actionable recommendations on pricing, currency and corridor prioritization, maker incentive design, and channel strategy to support fiat growth and monetization

Required Qualifications

Fluent in English and Mandarin (written and spoken)

5+ years of experience in data analysis, business intelligence, or a related analytical role

Background in payments, fiat on/off-ramp, FX, cross-border remittance, banking, or fintech required

Strong proficiency in SQL and at least one analytical programming language (Python or R)

Experience with BI/visualization tools (Tableau, Looker, Power BI, or similar)

Solid understanding of conversion funnel and transaction-flow analysis — drop-off diagnosis, failure attribution, cohort-based conversion

Strong analytical thinking with the ability to translate complex data into clear, actionable insights

High attention to detail and commitment to data accuracy, particularly for externally reported or compliance-facing figures

Comfortable working across different time zones

Preferred Qualifications

Familiarity with crypto fiat gateways — P2P marketplaces, card acquiring, local bank rails, stablecoin settlement

Experience with two-sided marketplace dynamics (maker/taker supply, pricing competitiveness, ad ranking) or market microstructure and order-book depth analysis

Experience supporting regulated entities and regulatory reporting

Experience in fraud, AML, or market-abuse analytics

Experience with statistical analysis, forecasting, quasi-experimental design, or machine learning techniques

Source · BybitFirst seen 3 NovOriginal ↗