Senior Data Analyst

AI in this role

Senior Data Analyst to own end-to-end analytics, revenue modeling, and reporting for the fiat business line.

sql

data-analysisdashboardingrevenue-modelingab-testing

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
Prior experience at a crypto exchange, payment institution, or digital asset platform

Why Join Us
At Bybit, 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.

How we rate this

Senior Data Analyst at Bybit rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnalysisDashboardingRevenue ModelingAb TestingSQL

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where dashboarding was part of your work. What did you do?
Tell me about a project where revenue modeling was part of your work. What did you do?
Tell me about a project where ab testing was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Analysis, Dashboarding, Revenue Modeling, Ab Testing, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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